This paper presented neural network based maximum power point tracking on the design of photovoltaic power input to a DC DC boot converter to the load. Simulink model of photovoltaic array tested the neural network with different temperature and irradiance for maximum power point of a photovoltaic system. DC DC boot converter is used in load when an average output voltage is stable required which can be lower than the input voltage. At the end, the different temperature and irradiance of the data collected from the photovoltaic array system is used to train the neutral network and output efficiency of the designed DC DC boot converter with MPPT control strategy is accepted the maximum power amount to show the result voltage, current and power output for each different have been presented. And also demonstrated that the neural network based MPPT tracking require less time and more accurate results than the other algorithm based MPPT. Myint Thuzar | Cho Hnin Moh Moh Aung "Artificial Neural Network for Solar Photovoltaic System Modeling and Simulation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27867.pdfPaper URL: https://www.ijtsrd.com/engineering/electrical-engineering/27867/artificial-neural-network-for-solar-photovoltaic-system-modeling-and-simulation/myint-thuzar
Comprehensive Review on Maximum Power Point Tracking Methods for SPV SystemIRJET Journal
ย
This document reviews over 30 maximum power point tracking (MPPT) methods for solar photovoltaic systems. It provides an overview of various conventional and advanced MPPT techniques, including perturb and observe, incremental conductance, fuzzy logic control, and evolutionary algorithms. The document analyzes and compares the performance of these methods in terms of tracking speed, efficiency under changing weather conditions, ability to handle partial shading, and complexity of implementation. It aims to help researchers select the most suitable MPPT technique for their application.
Controllers are used in renewable energy systems like electric vehicles, wind turbines, and solar power plants to regulate various functions. Modern controllers for electric vehicles use pulse width modulation to smoothly control motor speed and acceleration. Advanced controllers for wind turbines and solar plants employ strategies like variable pitch control, maximum power point tracking, and fuzzy logic to optimize power capture despite changing environmental conditions. Controllers are critical for integrating renewable sources into smart grids and ensuring stable, efficient system operation as use of intermittent renewables increases.
Several algorithms have been offered to track the Maximum Power Point when we have one maximum power point. Moreover, fuzzy control and neural was utilized to track the Maximum Power Point when we have multi-peaks power points. In this paper, we will propose an improved Maximum Power Point tracking method for the photovoltaic system utilizing a modified PSO algorithm. The main advantage of the method is the decreasing of the steady state oscillation (to practically zero) once the Maximum Power Point is located. moreover, the proposed method has the ability to track the Maximum Power Point for the extreme environmental condition that cause the presence of maximum multi-power points, for example, partial shading condition and large fluctuations of insolation. To evaluate the effectiveness of the proposed method, MATLAB simulations are carried out under very challenging circumstance, namely step changes in irradiance, step changes in load, and partial shading of the Photovoltaic array. Finally, its performance is compared with the perturbation and observationโ and fuzzy logic results for the single peak, and the neural-fuzzy control results for the multi-peaks.
ANFIS used as a Maximum Power Point Tracking Algorithmfor a Photovoltaic Syst...IJECEIAES
ย
Photovoltaic (PV) modules play an important role in modern distribution networks; however, from the beginning, PV modules have mostly been used in order to produce clean, green energy and to make a profit. Working effectively during the day, PV systems tend to achieve a maximum power point accomplished by inverters with built-in Maximum Power Point Tracking (MPPT) algorithms. This paper presents an Adaptive Neuro-Fuzzy Inference System (ANFIS), as a method for predicting an MPP based on data on solar exposure and the surrounding temperature. The advantages of the proposed method are a fast response, non-invasive sampling, total harmonic distortion reduction, more efficient usage of PV modules and a simple training of the ANFIS algorithm. To demonstrate the effectiveness and accuracy of the ANFIS in relation to the MPPT algorithm, a practical sample case of 10 kW PV system and its measurements are used as a model for simulation. Modelling and simulations are performed using all available components provided by technical data. The results obtained from the simulations point to the more efficient usage of the ANFIS model proposed as an MPPT algorithm for PV modules in comparison to other existing methods.
Design of Hybrid Solar Wind Energy System in a Microgrid with MPPT Techniques IJECEIAES
ย
DC Microgrid is one feasible and effective solution to integrate renewable energy sources as well as to supply electricity. This paper proposes a DC microgrid with enhanced Maximum Power Point Tracking (MPPT) techniques for wind and solar energy systems. In this paper, the PV system power generation is enhanced by introducing a two-model MPPT technique that combines incremental conductance and constant voltage MPPT algorithms. Also, for the Wind Energy Conversion System (WECS) with pitch angle controlling technique, an Optimal Power Control MPPT technique is added. The Space Vector Pulse Width Modulation technique is introduced on grid side converter to improve the supply to the grid. The performance of proposed system is analyzed and the efficiency obtained with these methods is enhanced as compared with the previous methods.
Maximum Power Point Tracking Technologies for Photovoltaic Efficiency Improve...IRJET Journal
ย
This document discusses maximum power point tracking (MPPT) technologies used to improve the efficiency of photovoltaic systems. It begins by introducing the need for MPPT to extract maximum available power from solar panels given varying light and temperature conditions. It then describes modeling of solar cells and modules, and the use of DC-DC boost converters connected to MPPT controllers to vary output voltage for optimal power. The document simulates and evaluates the performance of a perturb and observe MPPT algorithm under changing light levels, showing it successfully tracks maximum power points.
IRJET- Power Generation using PZT for Auto Street Lightning SystemIRJET Journal
ย
This document discusses a system to generate power for street lighting using piezoelectric materials. When vehicles drive over piezoelectric sensors embedded in roads, the pressure generates electric charge which is stored in batteries. The stored power is then used to automatically operate street lights as needed. Piezoelectric materials like lead zirconium titanate (PZT) convert mechanical energy from vehicle motion into electrical energy. The document describes the piezoelectric effect and discusses connecting multiple PZT sensors in series and parallel to increase output voltage and current. It presents the system design, including an energy storage circuit, inverter, and automatic light control based on vehicle detection. The system aims to provide renewable power for street lighting in
In photovoltaic (PV) systems, maximum power point tracking (MPPT) techniques are used to track the maximum power from the PV array under the change in irradiance and temperature conditions. The perturb and observe (P&O) is one of the most widely used MPPT techniques in recent times due to its simple implementation and improved performance. However, the P&O has limitations such as oscillation around the MPP during which time the P&O algorithm will become confused due to rapidly changing atmospheric conditions. To overcome the above limitation, this paper uses the fuzzy logic controller (FLC) to track the maximum power from the PV system under different irradiance, integrates it with a DC-DC boost converter as a tracker. The result of the FLC performance is compared with the traditional P&O method and shows the MPPT algorithm based on FLC ensures continuous tracking of the maximum power within a short period compared with the traditional P&O method. Besides that, the proposed method (FLC) has a faster dynamic response and low oscillations at the operating point around the MPP under steady-state conditions and dynamic change in irradiance.
Comprehensive Review on Maximum Power Point Tracking Methods for SPV SystemIRJET Journal
ย
This document reviews over 30 maximum power point tracking (MPPT) methods for solar photovoltaic systems. It provides an overview of various conventional and advanced MPPT techniques, including perturb and observe, incremental conductance, fuzzy logic control, and evolutionary algorithms. The document analyzes and compares the performance of these methods in terms of tracking speed, efficiency under changing weather conditions, ability to handle partial shading, and complexity of implementation. It aims to help researchers select the most suitable MPPT technique for their application.
Controllers are used in renewable energy systems like electric vehicles, wind turbines, and solar power plants to regulate various functions. Modern controllers for electric vehicles use pulse width modulation to smoothly control motor speed and acceleration. Advanced controllers for wind turbines and solar plants employ strategies like variable pitch control, maximum power point tracking, and fuzzy logic to optimize power capture despite changing environmental conditions. Controllers are critical for integrating renewable sources into smart grids and ensuring stable, efficient system operation as use of intermittent renewables increases.
Several algorithms have been offered to track the Maximum Power Point when we have one maximum power point. Moreover, fuzzy control and neural was utilized to track the Maximum Power Point when we have multi-peaks power points. In this paper, we will propose an improved Maximum Power Point tracking method for the photovoltaic system utilizing a modified PSO algorithm. The main advantage of the method is the decreasing of the steady state oscillation (to practically zero) once the Maximum Power Point is located. moreover, the proposed method has the ability to track the Maximum Power Point for the extreme environmental condition that cause the presence of maximum multi-power points, for example, partial shading condition and large fluctuations of insolation. To evaluate the effectiveness of the proposed method, MATLAB simulations are carried out under very challenging circumstance, namely step changes in irradiance, step changes in load, and partial shading of the Photovoltaic array. Finally, its performance is compared with the perturbation and observationโ and fuzzy logic results for the single peak, and the neural-fuzzy control results for the multi-peaks.
ANFIS used as a Maximum Power Point Tracking Algorithmfor a Photovoltaic Syst...IJECEIAES
ย
Photovoltaic (PV) modules play an important role in modern distribution networks; however, from the beginning, PV modules have mostly been used in order to produce clean, green energy and to make a profit. Working effectively during the day, PV systems tend to achieve a maximum power point accomplished by inverters with built-in Maximum Power Point Tracking (MPPT) algorithms. This paper presents an Adaptive Neuro-Fuzzy Inference System (ANFIS), as a method for predicting an MPP based on data on solar exposure and the surrounding temperature. The advantages of the proposed method are a fast response, non-invasive sampling, total harmonic distortion reduction, more efficient usage of PV modules and a simple training of the ANFIS algorithm. To demonstrate the effectiveness and accuracy of the ANFIS in relation to the MPPT algorithm, a practical sample case of 10 kW PV system and its measurements are used as a model for simulation. Modelling and simulations are performed using all available components provided by technical data. The results obtained from the simulations point to the more efficient usage of the ANFIS model proposed as an MPPT algorithm for PV modules in comparison to other existing methods.
Design of Hybrid Solar Wind Energy System in a Microgrid with MPPT Techniques IJECEIAES
ย
DC Microgrid is one feasible and effective solution to integrate renewable energy sources as well as to supply electricity. This paper proposes a DC microgrid with enhanced Maximum Power Point Tracking (MPPT) techniques for wind and solar energy systems. In this paper, the PV system power generation is enhanced by introducing a two-model MPPT technique that combines incremental conductance and constant voltage MPPT algorithms. Also, for the Wind Energy Conversion System (WECS) with pitch angle controlling technique, an Optimal Power Control MPPT technique is added. The Space Vector Pulse Width Modulation technique is introduced on grid side converter to improve the supply to the grid. The performance of proposed system is analyzed and the efficiency obtained with these methods is enhanced as compared with the previous methods.
Maximum Power Point Tracking Technologies for Photovoltaic Efficiency Improve...IRJET Journal
ย
This document discusses maximum power point tracking (MPPT) technologies used to improve the efficiency of photovoltaic systems. It begins by introducing the need for MPPT to extract maximum available power from solar panels given varying light and temperature conditions. It then describes modeling of solar cells and modules, and the use of DC-DC boost converters connected to MPPT controllers to vary output voltage for optimal power. The document simulates and evaluates the performance of a perturb and observe MPPT algorithm under changing light levels, showing it successfully tracks maximum power points.
IRJET- Power Generation using PZT for Auto Street Lightning SystemIRJET Journal
ย
This document discusses a system to generate power for street lighting using piezoelectric materials. When vehicles drive over piezoelectric sensors embedded in roads, the pressure generates electric charge which is stored in batteries. The stored power is then used to automatically operate street lights as needed. Piezoelectric materials like lead zirconium titanate (PZT) convert mechanical energy from vehicle motion into electrical energy. The document describes the piezoelectric effect and discusses connecting multiple PZT sensors in series and parallel to increase output voltage and current. It presents the system design, including an energy storage circuit, inverter, and automatic light control based on vehicle detection. The system aims to provide renewable power for street lighting in
In photovoltaic (PV) systems, maximum power point tracking (MPPT) techniques are used to track the maximum power from the PV array under the change in irradiance and temperature conditions. The perturb and observe (P&O) is one of the most widely used MPPT techniques in recent times due to its simple implementation and improved performance. However, the P&O has limitations such as oscillation around the MPP during which time the P&O algorithm will become confused due to rapidly changing atmospheric conditions. To overcome the above limitation, this paper uses the fuzzy logic controller (FLC) to track the maximum power from the PV system under different irradiance, integrates it with a DC-DC boost converter as a tracker. The result of the FLC performance is compared with the traditional P&O method and shows the MPPT algorithm based on FLC ensures continuous tracking of the maximum power within a short period compared with the traditional P&O method. Besides that, the proposed method (FLC) has a faster dynamic response and low oscillations at the operating point around the MPP under steady-state conditions and dynamic change in irradiance.
This document presents a study on modeling a photovoltaic system with maximum power point tracking (MPPT) control using neural networks. It discusses modeling the photovoltaic module and cell using equations. An artificial neural network model with three layers (input, hidden, output) is proposed to identify the maximum power point. Simulation results using Matlab/Simulink show the effectiveness of the neural network technique in improving photovoltaic system performance and maximizing power extraction compared to conventional MPPT methods. The document also analyzes how temperature and solar radiation influence the current-voltage and power-voltage characteristics of the photovoltaic module.
This document describes a hybrid maximum power point tracking (MPPT) algorithm for photovoltaic systems. It begins by discussing existing MPPT methods like fractional open circuit voltage, perturb and observe, and incremental MPPT with variable step size. It then proposes a new hybrid algorithm that combines advantages of these methods. The hybrid algorithm initializes the PV array voltage to 78% of open circuit voltage. It then uses perturb and observe with a variable step size and selects between two tracking schemes based on how rapidly irradiation is changing. Simulation results in MATLAB and PSIM showed improved starting performance and tracking effects over earlier MPPT methods.
Comparison between neural network and P&O method in optimizing MPPT control f...IJECEIAES
ย
The demand for renewable energy has increased because it is considered a clean energy and does not result in any pollution or emission of toxic gases that negatively affect the environment and human health also requiring little maintenance, and emitting no noise, so it is necessary to develop this type of energy and increase its production capacity. In this research a design of maximum power point tracking (MPPT) control method using Neural Network (NN) for photovoltaic system is presented. First we design a standalone PV system linked to dc boost chopper with MPPT by perturbation and observation P&O technique, and then a design of MPPT by using ANN for the same system is presented. Comparative between two control methods are studied. The results explained in constant and adjustable weather settings such as irradiation and temperature. The results exposed that the proposed MPPT by ANN control can improve the PV array efficiency by reduce the oscillation around the MPP that accure in P&O method and so decreases the power losses. As well as decrease the the overshot that accure in transient response, and hence improving the performance of the solar cell.
This work presents a hybrid soft-computing methodology approach for intelligent maximum power point tracking (MPPT) techniques of a photovoltaic (PV) system under any expected operating conditions using artificial neural network-fuzzy (neuro-fuzzy). The proposed technique predicts the calculation of the duty cycle ensuring optimal power transfer between the PV generator and the load. The neuro-fuzzy hybrid method combines artificial neural network (ANN) to direct the controller to the region where the MPP is located with its reference voltage estimator and its block of neural order. After that, the fuzzy logic controller (FLC) with rule inference begins to establish the photovoltaic solar system at the MPP. The obtained simulation results using MATLAB/simulink software for the proposed approach compared to ANN and the perturb and observe (P&O), proved that neuro-fuzzy approach fulfilled to extract the optimum power with pertinence, efficiency and precision.
A Comprehensive Analysis of Partial Shading Effect on Output Parameters of a ...IJECEIAES
ย
One of the issues of grid-connected photovoltaic systems is the effect of the partial shading on the key parameters and performance of the system. In practice, a share of the entire PV panel may shadded because of the various reasons, inevitably. In this case, the key parameters of the system output are affected with respect to the shading extent and paradigm. In this paper, the effects of the various partial shading patterns on the ouput of the system are examined. This is performed by deriving relevant equations and appropriate modeling of the system and defining different scenarios. The analysis on the system performance is carried out on the dominant output parameters including panel voltage, panel power, and total harmonic distortion (THD) of the inverter. Also, the study considers the effect of using bypass diodes in the panels or not. Addintionally, to compare derived conclusions, the study is implementd on a practical system. The set up is made up of a 7-level multilevel inverter, a Z-source converter, and 1 kW lateral circuitry. The real world test results of the study demonstrate a negligible deviation compared to the simulation results.
Power Estimation for Wearable Piezoelectric Energy HarvesterTELKOMNIKA JOURNAL
ย
The aim of this research work is to estimate the amount of electricity produced to power up wearable devices using a piezoelectric actuator, as an alternative to external power supply. A prototype of the device has been designed to continuously rotate a piezoelectric actuator mounted on a cantilever beam. A MATLABยฎ simulation was done to predict the amount of power harvested from human kinetic energy. Further simulation was conducted using COMSOL Multiphysicsยฎ to model a cantilever beam with piezoelectric layer. With the base excitation and the presence of tip mass at the beam, the natural frequencies and mode shapes have been analyzed to improve the amount of energy harvested. In this work, it was estimated that a maximum amount of power that could be generated is 250 ฮผW with up to 5.5V DC output. The outcome from this research works will aid in optimising the design of the energy harvester. This research work provides optimistic possibility in harvesting sufficient energy required for wearable devices.
Control of Grid Connected PV Inverter using LMF Adaptive MethodIRJET Journal
ย
This document summarizes a research paper that proposes a least mean square fourth (LMF) adaptive filtering technique for controlling a single-stage, three-phase grid-connected photovoltaic (PV) inverter system. The LMF-based control algorithm is compared to existing algorithms like SRFT and IRPT, and is found to involve simpler computation, be easier to implement, more stable, faster settling time, and more reliable. Simulations in MATLAB/Simulink show the LMF approach effectively extracts maximum power from the PV system and regulates the DC link voltage even under unbalanced and nonlinear loads. The results demonstrate the efficiency and consistency of the proposed LMF-based control system compared to conventional techniques.
This document describes the design of a battery charging circuit for a solar photovoltaic (SPV) system. It proposes using an intelligent fuzzy logic based discrete proportional-integral-derivative (FL-DPID) maximum power point tracking (MPPT) algorithm to operate the SPV panel at its maximum power point (MPP) under varying solar irradiance. The output of the FL-DPID MPPT-driven boost converter is used to charge a battery via an optimal proportional-integral-derivative (O-PID) controlled buck converter. The O-PID controller parameters are obtained using genetic algorithm to provide constant voltage and current for effective battery charging. A 200W prototype SPV panel is simulated in MATLAB/Simul
The document presents a new method for fault classification and direction discrimination in transmission lines using 1D convolutional neural networks (1D-CNNs). A 132kV transmission line model is simulated to generate training and testing data for the 1D-CNN algorithm. The proposed 1D-CNN approach directly uses the voltage and current signals from one end as input, merging feature extraction and classification into a single learning process. Testing shows the 1D-CNN method accurately classifies and discriminates fault direction with higher accuracy than conventional neural network and fuzzy neural network methods under different fault conditions.
IMPLEMENTATION OF A REAL TIME MONITORING SYSTEM FOR A PHOTOVOLTAIC GENERATION...adeij1
ย
Generally PV generators are considered reliable compared to other systems, but like all processes, a PV system can be exposed to several failures causing the PV system to malfunction. Several studies have found that the reliability of PV systems is highly dependent on the equipment used for the construction of PV panels, temperature, humidity and solar radiation. A PV system can have several defects, be it defects of construction types, or material and electrical defects caused by climatic conditions. As such, we can cite the fault most commonly encountered in a PV generator which is the partial shading defect.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
The document compares the performance of three MPPT (maximum power point tracking) controllers - Perturb & Observe, PID, and fuzzy logic control - for a photovoltaic system in southwest Algeria. It first provides background on energy conversion and MPPT control in photovoltaic systems. It then describes the modeled system components - the photovoltaic generator, DC-DC boost converter, storage battery, and three MPPT algorithms. The goal of the comparison is to explain the precision, rapidity, and stability of the standalone photovoltaic system under each MPPT control strategy.
IRJET- Perturb & Observe MPPT Technique used for PV System Under Differen...IRJET Journal
ย
This document discusses using the perturb and observe (P&O) maximum power point tracking (MPPT) technique for a solar photovoltaic (PV) system under different environmental conditions. It begins with an introduction to MPPT and the need for MPPT under changing conditions. It then discusses modeling a PV system in Simulink using a boost converter controlled by a P&O MPPT algorithm. Simulation results under different irradiance and temperature levels are presented and analyzed. The document concludes that the P&O MPPT technique can effectively extract maximum power from solar PV panels under varying environmental conditions.
Development of a photovoltaic characteristics generator based on mathematical...IJECEIAES
ย
A good study of photovoltaic system requests to have very precise current-voltage characteristic curves of photovoltaic modules for different technologies. The photovoltaic emulator provides an efficient solution to maintain the same current-voltage output of photovoltaic module. It includes three parts: the PV model, the control strategy, and the power converter. This paper provides three classes of modeling and simulation of photovoltaic arrays and presents the synthesis results of the current-voltage characteristic performances obtained by the modeling approaches. The models of the first class are based on electrical circuit model, those of the second class are based on multiple straight lines model, and for the third class, it is based on the look up table. The mathematical model is built using MATLAB/ Simulink, and an experimental bench was carried out to acquire an up-to-date and representative experimental database of four PV panels. This database is used for the validation of these models for the different PV panel technologies under Moroccan meteorological conditions. Following this comparative study, we came to a high agreement between the experimental and simulated current-voltage characteristics for the emulator under study.
Partial Shading Detection and MPPT Controller for Total Cross Tied Photovolta...IDES Editor
ย
This paper present Maximum Power Point Tracking
(MPPT) controller for solving partial shading problems in
photovoltaic (PV) systems. It is well-known that partial shading
is often encountered in PV system issue with many
consequences. In this research, PV array is connected using
TCT (total cross-tied) configuration including sensors to
measure voltage and currents. The sensors provide inputs for
MPPT controller in order to achieve optimum output power.
The Adaptive Neuro Fuzzy Inference System (ANFIS) is
utilized in this paper as the controller methods. Then, the
output of MPPT controller is the optimum power duty cycle
(ฮฑ) to drive the performance DC-DC converter. The simulation
shows that the proposed MPPT controller can provide PV
voltage (VMPP) nearly to the maximum power point voltage.
The accuracy of our proposed method is measured by
performance index defined as Mean Absolute Percentage Error
(MAPE). In addition, the main purpose of this work is to
present a new method for detecting partial condition of
photovoltaic TCT configuration using only 3 sensors. Thus,
this method can streamline the time and reduce operating
costs.
This thesis proposes advanced control strategies for photovoltaic and energy storage power conversion systems to improve energy harvesting, ensure grid compliance, and provide grid support. The first improvement extends the input voltage range of inverters to increase solar energy capture. A voltage-reactive power control strategy and modified modulation technique provide a lower voltage limit. Maximizing semiconductor utilization achieves a higher limit, improving energy capture by 30%. A second strategy integrates grid fault detection within control algorithms to enable compliance. The final contribution provides frequency and voltage support functions for grid stability beyond existing standards. Combined, these approaches develop high-performance, efficient, safe and grid-friendly solar power solutions.
Investigation of Interleaved Boost Converter with Voltage multiplier for PV w...ecij
ย
This paper depicts the significance of Interleaved Boost Converter (IBC) with diode-capacitor multiplierwith PV as the input source. Maximum Power Point Tracking (MPPT) was used to obtain maximum power from the PV system. In this, interleaving topology is used to reduce the input current ripple, output voltage ripple, power loss and to suppress the ripple in battery current in the case of Plugin Hybrid Electric Vehicle (PHEV). Moreover, voltage multiplier cells are added in the IBC configuration to reduce the narrow turn-off periods. Two MPPT techniques are compared in this paper: i) Perturb and Observe (P&O) algorithm ii) Fuzzy Logic . The two algorithms are simulated using MATLAB and the comparison of performance parameters like the ripple is done and the results are verified.
This document summarizes a study that proposes a photovoltaic (PV) system with fuzzy logic maximum power point tracking (MPPT) applied to a boost converter and PI control applied to a buck converter to act as a battery charge controller. The fuzzy logic MPPT method is used to operate the PV panels at maximum power under varying temperature and irradiance conditions, increasing efficiency. The PI controller regulates the buck converter output to provide appropriate constant current and voltage for fast battery charging with low losses. The system was modeled and analyzed in MATLAB/Simulink.
Improving efficiency of Photovoltaic System with Neural Network Based MPPT Co...IJMER
ย
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
Wireless sensor nodes are usually deployed in not easily accessible places to provide solution to a wide
range of application such as environmental, medical and structural monitoring. They are spatially
distributed and as a result are usually powered from batteries. Due to the limitation in providing power
with batteries, which must be manually replaced when they are depleted, and location constraints in
wireless sensor network causes a major setback on performance and lifetime of WSNs. This difficulty in
battery replacement and cost led to a growing interest in energy harvesting. The current practice in energy
harvesting for sensor networks is based on practical and simulation approach. The evaluation and
validation of the WSN systems is mostly done using simulation and practical implementation. Simulation is
widely used especially for its great advantage in evaluating network systems. Its disadvantages such as the
long time taken to simulate and not being economical as it implements data without proper analysis of all
that is involved ,wasting useful resources cannot be ignored. In most times, the energy scavenged is directly
wired to the sensor nodes. We, therefore, argue that simulation โ based and practical implementation of
WSN energy harvesting system should be further strengthened through mathematical analysis and design
procedures. In this work, we designed and modeled the energy harvesting system for wireless sensor nodes
based on the input and output parameters of the energy sources and sensor nodes. We also introduced the
use of supercapacitor as buffer and intermittent source for the sensor node. The model was further tested in
a Matlab environment, and found to yield a very good approach for system design.
Enhancing Solar Photovoltaic System Efficiency A Comparative Analysis of Inte...ijtsrd
ย
Solar energy is a potential energy source in India and its application is ever increasing. In solar PV application, the photovoltaic module is needed to harvest this kind of energy. The PV module exhibit nonlinear IโV and Pโ V characteristics. The maximum power produced varies with both irradiance and temperature. The maximum efficiency is achieved when PV works at its maximum power point which can be obtained by using suitable MPPT algorithm. Most of PV systems use conventional MPPT methods such as incremental conductance IC and perturb and observe P and O . With the advanced in control technology, the intelligent control techniques are commonly used in all areas. A conventional MPPT controller is used to maximise the conversion efficiency under normal conditions but fails in abnormal conditions. This paper proposes an intelligent ANN PandO MPPT controller for the Boost converter that utilises the effective regions of both ANN and PandO methods to identify the global maximum point in order to improve the conversion efficiency of a PV system and a comparative simulation study of three MPPT algorithms specifically i perturb and observe, ii artificial neural network ANN , and iii NN โ PandO. MATLAB SIMULINK software is used to test how well the controller works in unusual situations and compare it to its individual counterparts. Bashab Mazumder | Samina Elyas Mubeen "Enhancing Solar Photovoltaic System Efficiency: A Comparative Analysis of Intelligent ANN-P&O MPPT Controller against Traditional Algorithms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd61318.pdf Paper Url: https://www.ijtsrd.com/engineering/other/61318/enhancing-solar-photovoltaic-system-efficiency-a-comparative-analysis-of-intelligent-annpando-mppt-controller-against-traditional-algorithms/bashab-mazumder
Analysis and Implement of Hybrid ANN PandO Based MPPT Controller to Enhance E...ijtsrd
ย
Solar energy is a potential energy source in Myanmar and its application is ever increasing. In solar PV application, the photovoltaic module is needed to harvest this kind of energy. The PV module exhibit nonlinear IโV and Pโ V characteristics. The maximum power produced varies with both irradiance and temperature. The maximum efficiency is achieved when PV works at its maximum power point which can be obtained by using suitable MPPT algorithm. Most of PV systems use conventional MPPT methods such as incremental conductance IC and perturb and observe P and O . With the advanced in control technology, the intelligent control techniques are commonly used in all areas. A conventional MPPT controller is used to maximise the conversion efficiency under normal conditions but fails in abnormal conditions. This paper proposes an intelligent ANN PandO MPPT controller for the Boost converter that utilises the effective regions of both ANN and PandO methods to identify the global maximum point in order to improve the conversion efficiency of a PV system and a comparative simulation study of three MPPT algorithms specifically i perturb and observe, ii artificial neural network ANN , and iii NN โ PandO. MATLAB SIMULINK software is used to test how well the controller works in unusual situations and compare it to its individual counterparts. Shubham Dwivedi | Poonam Jounjare "Analysis and Implement of Hybrid ANN - P&O Based MPPT Controller to Enhance Efficiency of Photovoltaic System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-5 , August 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50589.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/50589/analysis-and-implement-of-hybrid-ann--pando-based-mppt-controller-to-enhance-efficiency-of-photovoltaic-system/shubham-dwivedi
This document presents a study on modeling a photovoltaic system with maximum power point tracking (MPPT) control using neural networks. It discusses modeling the photovoltaic module and cell using equations. An artificial neural network model with three layers (input, hidden, output) is proposed to identify the maximum power point. Simulation results using Matlab/Simulink show the effectiveness of the neural network technique in improving photovoltaic system performance and maximizing power extraction compared to conventional MPPT methods. The document also analyzes how temperature and solar radiation influence the current-voltage and power-voltage characteristics of the photovoltaic module.
This document describes a hybrid maximum power point tracking (MPPT) algorithm for photovoltaic systems. It begins by discussing existing MPPT methods like fractional open circuit voltage, perturb and observe, and incremental MPPT with variable step size. It then proposes a new hybrid algorithm that combines advantages of these methods. The hybrid algorithm initializes the PV array voltage to 78% of open circuit voltage. It then uses perturb and observe with a variable step size and selects between two tracking schemes based on how rapidly irradiation is changing. Simulation results in MATLAB and PSIM showed improved starting performance and tracking effects over earlier MPPT methods.
Comparison between neural network and P&O method in optimizing MPPT control f...IJECEIAES
ย
The demand for renewable energy has increased because it is considered a clean energy and does not result in any pollution or emission of toxic gases that negatively affect the environment and human health also requiring little maintenance, and emitting no noise, so it is necessary to develop this type of energy and increase its production capacity. In this research a design of maximum power point tracking (MPPT) control method using Neural Network (NN) for photovoltaic system is presented. First we design a standalone PV system linked to dc boost chopper with MPPT by perturbation and observation P&O technique, and then a design of MPPT by using ANN for the same system is presented. Comparative between two control methods are studied. The results explained in constant and adjustable weather settings such as irradiation and temperature. The results exposed that the proposed MPPT by ANN control can improve the PV array efficiency by reduce the oscillation around the MPP that accure in P&O method and so decreases the power losses. As well as decrease the the overshot that accure in transient response, and hence improving the performance of the solar cell.
This work presents a hybrid soft-computing methodology approach for intelligent maximum power point tracking (MPPT) techniques of a photovoltaic (PV) system under any expected operating conditions using artificial neural network-fuzzy (neuro-fuzzy). The proposed technique predicts the calculation of the duty cycle ensuring optimal power transfer between the PV generator and the load. The neuro-fuzzy hybrid method combines artificial neural network (ANN) to direct the controller to the region where the MPP is located with its reference voltage estimator and its block of neural order. After that, the fuzzy logic controller (FLC) with rule inference begins to establish the photovoltaic solar system at the MPP. The obtained simulation results using MATLAB/simulink software for the proposed approach compared to ANN and the perturb and observe (P&O), proved that neuro-fuzzy approach fulfilled to extract the optimum power with pertinence, efficiency and precision.
A Comprehensive Analysis of Partial Shading Effect on Output Parameters of a ...IJECEIAES
ย
One of the issues of grid-connected photovoltaic systems is the effect of the partial shading on the key parameters and performance of the system. In practice, a share of the entire PV panel may shadded because of the various reasons, inevitably. In this case, the key parameters of the system output are affected with respect to the shading extent and paradigm. In this paper, the effects of the various partial shading patterns on the ouput of the system are examined. This is performed by deriving relevant equations and appropriate modeling of the system and defining different scenarios. The analysis on the system performance is carried out on the dominant output parameters including panel voltage, panel power, and total harmonic distortion (THD) of the inverter. Also, the study considers the effect of using bypass diodes in the panels or not. Addintionally, to compare derived conclusions, the study is implementd on a practical system. The set up is made up of a 7-level multilevel inverter, a Z-source converter, and 1 kW lateral circuitry. The real world test results of the study demonstrate a negligible deviation compared to the simulation results.
Power Estimation for Wearable Piezoelectric Energy HarvesterTELKOMNIKA JOURNAL
ย
The aim of this research work is to estimate the amount of electricity produced to power up wearable devices using a piezoelectric actuator, as an alternative to external power supply. A prototype of the device has been designed to continuously rotate a piezoelectric actuator mounted on a cantilever beam. A MATLABยฎ simulation was done to predict the amount of power harvested from human kinetic energy. Further simulation was conducted using COMSOL Multiphysicsยฎ to model a cantilever beam with piezoelectric layer. With the base excitation and the presence of tip mass at the beam, the natural frequencies and mode shapes have been analyzed to improve the amount of energy harvested. In this work, it was estimated that a maximum amount of power that could be generated is 250 ฮผW with up to 5.5V DC output. The outcome from this research works will aid in optimising the design of the energy harvester. This research work provides optimistic possibility in harvesting sufficient energy required for wearable devices.
Control of Grid Connected PV Inverter using LMF Adaptive MethodIRJET Journal
ย
This document summarizes a research paper that proposes a least mean square fourth (LMF) adaptive filtering technique for controlling a single-stage, three-phase grid-connected photovoltaic (PV) inverter system. The LMF-based control algorithm is compared to existing algorithms like SRFT and IRPT, and is found to involve simpler computation, be easier to implement, more stable, faster settling time, and more reliable. Simulations in MATLAB/Simulink show the LMF approach effectively extracts maximum power from the PV system and regulates the DC link voltage even under unbalanced and nonlinear loads. The results demonstrate the efficiency and consistency of the proposed LMF-based control system compared to conventional techniques.
This document describes the design of a battery charging circuit for a solar photovoltaic (SPV) system. It proposes using an intelligent fuzzy logic based discrete proportional-integral-derivative (FL-DPID) maximum power point tracking (MPPT) algorithm to operate the SPV panel at its maximum power point (MPP) under varying solar irradiance. The output of the FL-DPID MPPT-driven boost converter is used to charge a battery via an optimal proportional-integral-derivative (O-PID) controlled buck converter. The O-PID controller parameters are obtained using genetic algorithm to provide constant voltage and current for effective battery charging. A 200W prototype SPV panel is simulated in MATLAB/Simul
The document presents a new method for fault classification and direction discrimination in transmission lines using 1D convolutional neural networks (1D-CNNs). A 132kV transmission line model is simulated to generate training and testing data for the 1D-CNN algorithm. The proposed 1D-CNN approach directly uses the voltage and current signals from one end as input, merging feature extraction and classification into a single learning process. Testing shows the 1D-CNN method accurately classifies and discriminates fault direction with higher accuracy than conventional neural network and fuzzy neural network methods under different fault conditions.
IMPLEMENTATION OF A REAL TIME MONITORING SYSTEM FOR A PHOTOVOLTAIC GENERATION...adeij1
ย
Generally PV generators are considered reliable compared to other systems, but like all processes, a PV system can be exposed to several failures causing the PV system to malfunction. Several studies have found that the reliability of PV systems is highly dependent on the equipment used for the construction of PV panels, temperature, humidity and solar radiation. A PV system can have several defects, be it defects of construction types, or material and electrical defects caused by climatic conditions. As such, we can cite the fault most commonly encountered in a PV generator which is the partial shading defect.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
The document compares the performance of three MPPT (maximum power point tracking) controllers - Perturb & Observe, PID, and fuzzy logic control - for a photovoltaic system in southwest Algeria. It first provides background on energy conversion and MPPT control in photovoltaic systems. It then describes the modeled system components - the photovoltaic generator, DC-DC boost converter, storage battery, and three MPPT algorithms. The goal of the comparison is to explain the precision, rapidity, and stability of the standalone photovoltaic system under each MPPT control strategy.
IRJET- Perturb & Observe MPPT Technique used for PV System Under Differen...IRJET Journal
ย
This document discusses using the perturb and observe (P&O) maximum power point tracking (MPPT) technique for a solar photovoltaic (PV) system under different environmental conditions. It begins with an introduction to MPPT and the need for MPPT under changing conditions. It then discusses modeling a PV system in Simulink using a boost converter controlled by a P&O MPPT algorithm. Simulation results under different irradiance and temperature levels are presented and analyzed. The document concludes that the P&O MPPT technique can effectively extract maximum power from solar PV panels under varying environmental conditions.
Development of a photovoltaic characteristics generator based on mathematical...IJECEIAES
ย
A good study of photovoltaic system requests to have very precise current-voltage characteristic curves of photovoltaic modules for different technologies. The photovoltaic emulator provides an efficient solution to maintain the same current-voltage output of photovoltaic module. It includes three parts: the PV model, the control strategy, and the power converter. This paper provides three classes of modeling and simulation of photovoltaic arrays and presents the synthesis results of the current-voltage characteristic performances obtained by the modeling approaches. The models of the first class are based on electrical circuit model, those of the second class are based on multiple straight lines model, and for the third class, it is based on the look up table. The mathematical model is built using MATLAB/ Simulink, and an experimental bench was carried out to acquire an up-to-date and representative experimental database of four PV panels. This database is used for the validation of these models for the different PV panel technologies under Moroccan meteorological conditions. Following this comparative study, we came to a high agreement between the experimental and simulated current-voltage characteristics for the emulator under study.
Partial Shading Detection and MPPT Controller for Total Cross Tied Photovolta...IDES Editor
ย
This paper present Maximum Power Point Tracking
(MPPT) controller for solving partial shading problems in
photovoltaic (PV) systems. It is well-known that partial shading
is often encountered in PV system issue with many
consequences. In this research, PV array is connected using
TCT (total cross-tied) configuration including sensors to
measure voltage and currents. The sensors provide inputs for
MPPT controller in order to achieve optimum output power.
The Adaptive Neuro Fuzzy Inference System (ANFIS) is
utilized in this paper as the controller methods. Then, the
output of MPPT controller is the optimum power duty cycle
(ฮฑ) to drive the performance DC-DC converter. The simulation
shows that the proposed MPPT controller can provide PV
voltage (VMPP) nearly to the maximum power point voltage.
The accuracy of our proposed method is measured by
performance index defined as Mean Absolute Percentage Error
(MAPE). In addition, the main purpose of this work is to
present a new method for detecting partial condition of
photovoltaic TCT configuration using only 3 sensors. Thus,
this method can streamline the time and reduce operating
costs.
This thesis proposes advanced control strategies for photovoltaic and energy storage power conversion systems to improve energy harvesting, ensure grid compliance, and provide grid support. The first improvement extends the input voltage range of inverters to increase solar energy capture. A voltage-reactive power control strategy and modified modulation technique provide a lower voltage limit. Maximizing semiconductor utilization achieves a higher limit, improving energy capture by 30%. A second strategy integrates grid fault detection within control algorithms to enable compliance. The final contribution provides frequency and voltage support functions for grid stability beyond existing standards. Combined, these approaches develop high-performance, efficient, safe and grid-friendly solar power solutions.
Investigation of Interleaved Boost Converter with Voltage multiplier for PV w...ecij
ย
This paper depicts the significance of Interleaved Boost Converter (IBC) with diode-capacitor multiplierwith PV as the input source. Maximum Power Point Tracking (MPPT) was used to obtain maximum power from the PV system. In this, interleaving topology is used to reduce the input current ripple, output voltage ripple, power loss and to suppress the ripple in battery current in the case of Plugin Hybrid Electric Vehicle (PHEV). Moreover, voltage multiplier cells are added in the IBC configuration to reduce the narrow turn-off periods. Two MPPT techniques are compared in this paper: i) Perturb and Observe (P&O) algorithm ii) Fuzzy Logic . The two algorithms are simulated using MATLAB and the comparison of performance parameters like the ripple is done and the results are verified.
This document summarizes a study that proposes a photovoltaic (PV) system with fuzzy logic maximum power point tracking (MPPT) applied to a boost converter and PI control applied to a buck converter to act as a battery charge controller. The fuzzy logic MPPT method is used to operate the PV panels at maximum power under varying temperature and irradiance conditions, increasing efficiency. The PI controller regulates the buck converter output to provide appropriate constant current and voltage for fast battery charging with low losses. The system was modeled and analyzed in MATLAB/Simulink.
Improving efficiency of Photovoltaic System with Neural Network Based MPPT Co...IJMER
ย
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
Wireless sensor nodes are usually deployed in not easily accessible places to provide solution to a wide
range of application such as environmental, medical and structural monitoring. They are spatially
distributed and as a result are usually powered from batteries. Due to the limitation in providing power
with batteries, which must be manually replaced when they are depleted, and location constraints in
wireless sensor network causes a major setback on performance and lifetime of WSNs. This difficulty in
battery replacement and cost led to a growing interest in energy harvesting. The current practice in energy
harvesting for sensor networks is based on practical and simulation approach. The evaluation and
validation of the WSN systems is mostly done using simulation and practical implementation. Simulation is
widely used especially for its great advantage in evaluating network systems. Its disadvantages such as the
long time taken to simulate and not being economical as it implements data without proper analysis of all
that is involved ,wasting useful resources cannot be ignored. In most times, the energy scavenged is directly
wired to the sensor nodes. We, therefore, argue that simulation โ based and practical implementation of
WSN energy harvesting system should be further strengthened through mathematical analysis and design
procedures. In this work, we designed and modeled the energy harvesting system for wireless sensor nodes
based on the input and output parameters of the energy sources and sensor nodes. We also introduced the
use of supercapacitor as buffer and intermittent source for the sensor node. The model was further tested in
a Matlab environment, and found to yield a very good approach for system design.
Enhancing Solar Photovoltaic System Efficiency A Comparative Analysis of Inte...ijtsrd
ย
Solar energy is a potential energy source in India and its application is ever increasing. In solar PV application, the photovoltaic module is needed to harvest this kind of energy. The PV module exhibit nonlinear IโV and Pโ V characteristics. The maximum power produced varies with both irradiance and temperature. The maximum efficiency is achieved when PV works at its maximum power point which can be obtained by using suitable MPPT algorithm. Most of PV systems use conventional MPPT methods such as incremental conductance IC and perturb and observe P and O . With the advanced in control technology, the intelligent control techniques are commonly used in all areas. A conventional MPPT controller is used to maximise the conversion efficiency under normal conditions but fails in abnormal conditions. This paper proposes an intelligent ANN PandO MPPT controller for the Boost converter that utilises the effective regions of both ANN and PandO methods to identify the global maximum point in order to improve the conversion efficiency of a PV system and a comparative simulation study of three MPPT algorithms specifically i perturb and observe, ii artificial neural network ANN , and iii NN โ PandO. MATLAB SIMULINK software is used to test how well the controller works in unusual situations and compare it to its individual counterparts. Bashab Mazumder | Samina Elyas Mubeen "Enhancing Solar Photovoltaic System Efficiency: A Comparative Analysis of Intelligent ANN-P&O MPPT Controller against Traditional Algorithms" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd61318.pdf Paper Url: https://www.ijtsrd.com/engineering/other/61318/enhancing-solar-photovoltaic-system-efficiency-a-comparative-analysis-of-intelligent-annpando-mppt-controller-against-traditional-algorithms/bashab-mazumder
Analysis and Implement of Hybrid ANN PandO Based MPPT Controller to Enhance E...ijtsrd
ย
Solar energy is a potential energy source in Myanmar and its application is ever increasing. In solar PV application, the photovoltaic module is needed to harvest this kind of energy. The PV module exhibit nonlinear IโV and Pโ V characteristics. The maximum power produced varies with both irradiance and temperature. The maximum efficiency is achieved when PV works at its maximum power point which can be obtained by using suitable MPPT algorithm. Most of PV systems use conventional MPPT methods such as incremental conductance IC and perturb and observe P and O . With the advanced in control technology, the intelligent control techniques are commonly used in all areas. A conventional MPPT controller is used to maximise the conversion efficiency under normal conditions but fails in abnormal conditions. This paper proposes an intelligent ANN PandO MPPT controller for the Boost converter that utilises the effective regions of both ANN and PandO methods to identify the global maximum point in order to improve the conversion efficiency of a PV system and a comparative simulation study of three MPPT algorithms specifically i perturb and observe, ii artificial neural network ANN , and iii NN โ PandO. MATLAB SIMULINK software is used to test how well the controller works in unusual situations and compare it to its individual counterparts. Shubham Dwivedi | Poonam Jounjare "Analysis and Implement of Hybrid ANN - P&O Based MPPT Controller to Enhance Efficiency of Photovoltaic System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-5 , August 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50589.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/50589/analysis-and-implement-of-hybrid-ann--pando-based-mppt-controller-to-enhance-efficiency-of-photovoltaic-system/shubham-dwivedi
Performance Enhancement of MPPT Based Solar PV System using Neural Networkijtsrd
ย
In this paper, using artificial neural network ANN for tracking of maximum power point is discussed. Error back propagation method is used in order to train neural network. Neural network has advantages of fast and precisely tracking of maximum power point. In this method neural network is used to specify the reference voltage of maximum power point under di erent atmospheric conditions. By properly controlling of dc dc boost converter, tracking of maximum power point is feasible. To verify theory analysis, simulation result is obtained by using MATLAB SIMULINK. Rakesh Kumar | Pramod Kumar Rathore "Performance Enhancement of MPPT Based Solar PV System using Neural Network" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-5 , August 2022, URL: https://www.ijtsrd.com/papers/ijtsrd50540.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/50540/performance-enhancement-of-mppt-based-solar-pv-system-using-neural-network/rakesh-kumar
Improvement of grid connected photovoltaic system using artificial neural net...ijscmcj
ย
Photovoltaic (PV) systems have one of the highest potentials and operating ways for generating electrical power by converting solar irradiation directly into the electrical energy. In order to control maximum output power, using maximum power point tracking (MPPT) system is highly recommended. This paper simulates and controls the photovoltaic source by using artificial neural network (ANN) and genetic algorithm (GA) controller. Also, for tracking the maximum point the ANN and GA are used. Data are optimized by GA and then these optimum values are used in neural network training. The simulation results are presented by using Matlab/Simulink and show that the neural network-GA controller of grid-connected mode can meet the need of load easily and have fewer fluctuations around the maximum power point, also it can increase convergence speed to achieve the maximum power point (MPP) rather than conventional method. Moreover, to control both line voltage and current, a grid side p-q controller has been applied.
This document presents a study that uses artificial neural networks (ANN) and genetic algorithms (GA) to improve the maximum power point tracking (MPPT) of a grid-connected photovoltaic system under different operating conditions. GA is used to optimize the data and determine the optimal voltage corresponding to the maximum power point. This optimized data is then used to train the ANN. The trained ANN is able to track the maximum power point with fewer fluctuations compared to conventional MPPT methods. A grid side p-q controller is also implemented to control both the line voltage and current and allow active and reactive power exchange with the grid. Simulation results in Matlab/Simulink demonstrate the effectiveness of the ANN-GA controller
This document describes a study that uses artificial neural networks (ANN) and genetic algorithms (GA) to model and control a grid-connected photovoltaic (PV) system. 390 sets of temperature and irradiance data were optimized using GA to obtain corresponding maximum power point (MPP) voltages. These optimized data were then used to train an ANN for MPPT control. Simulation results in Matlab/Simulink showed that the ANN-GA controller had less fluctuation around the MPP and faster convergence than conventional methods. A P-Q controller was also used to control grid voltage/current and allow both active and reactive power exchange.
Modeling and Simulation of Fuzzy Logic based Maximum Power Point Tracking (MP...IJECEIAES
ย
This paper presents modeling and simulation of maximum power point tracking (MPPT) used in solar PV power systems. The Fuzzy logic algorithm is used to minimize the error between the actual power and the estimated maximum power. The simulation model was developed and tested to investigate the effectiveness of the proposed MPPT controller. MATLAB Simulink was employed for simulation studies. The proposed system was simulated and tested successfully on a photovoltaic solar panel model. The Fuzzy logic algorithm succesfully tracking the MPPs and performs precise control under rapidly changing atmospheric conditions. Simulation results indicate the feasibility and improved functionality of the system.
A novel efficient adaptive-neuro fuzzy inference system control based smart ...IJECEIAES
ย
This document presents a novel adaptive-neuro fuzzy inference system (ANFIS) control algorithm for a smart grid integrating solar, wind, and grid power sources. The proposed ANFIS controller is used to improve the steady-state and transient response of the hybrid power system. Fuzzy logic maximum power point tracking algorithms are used to extract maximum power from solar photovoltaic panels and a permanent magnet synchronous generator is used for wind power generation. Back-to-back voltage source converters operated by the ANFIS controller are used to maximize both renewable power generations. Simulation results under different operating conditions and nonlinear faults show the proposed ANFIS control algorithm improves the overall system performance.
This paper presents a maximum power point (MPP) tracking method based on a hybrid combination between the fuzzy logic controller (FLC) and the conventional Perturb-and-Observe (P&O) method. The proposed algorithm utilizes the FLC to initialize P&O algorithm with an initial duty cycle. MATLAB/Simulink models consisting of, the photovoltaic system, boost converter and controllers, are built to evaluate the performance of the proposed algorithm. To accurately illustrate the performance of the proposed algorithm, comparisons with standalone FLC and P&O are carried out. The performance of the proposed algorithm is investigated difficult weather conditions including sudden changes and partial shading. The results showed that the proposed algorithm successfully reaches MPP in all scenarios.
Simulation of incremental conductance mppt with direct control method using c...eSAT Journals
ย
Abstract PV Module Maximum Power Point Tracker (MPPT) is a photovoltaic system that uses the photovoltaic array as a source of electrical power supply. Every photovoltaic (PV) array has an optimum operating point, called the maximum power point, which varies depending on cell temperature, the insulation level and array voltage. The function of MPPT is needed to operate the PV array at its maximum power point. The design of a Maximum Peak Power Tracking (MPPT) is proposed utilizing a cuk converter topology. Solar panel voltage and current are continuously monitored by a MPPT, and the duty cycle of the cuk converter continuously adjusted to extract maximum power. The design consists of a PV array, DC-DC cuk converter and many such algorithms have been proposed. However, one particular algorithm, the Incremental Conductance method, claimed by many in the literature to be inferior to others, continues to be by far the most widely used method in commercial PV MPPTโs. The general model was implemented on Mat lab, and accepts irradiance and temperature as variable parameters and outputs the I-V characteristic and P-V characteristic Index Terms: PV system; Maximum power point tracking (MPPT); Incremental conductance (Inccond); digital signal processor (dsp)
Performance of Maximum Power Point Tracking Algorithm based Photovoltaic Arra...IRJET Journal
ย
This document summarizes a research paper that models and simulates a hybrid microgrid system interconnected with a photovoltaic array and utility grid. It uses a DC-DC boost converter controlled by an incremental conductance maximum power point tracking algorithm connected to the photovoltaic panels. A three-phase three-level inverter with IGBT switches is used to convert the DC power to AC power that is synchronized to the utility grid using a phase locked loop control algorithm. The system is simulated under varying sunlight conditions and the desired results are obtained, demonstrating effective maximum power point tracking and grid integration of solar power.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Study and Simulation of Inccond Based Maximum Power Point Tracking (MPPT) Alg...paperpublications3
ย
Abstract: The entire world is facing a challenge to overcome the hurdle of energy crisis. It is fairly evident that a need exist for developing alternative energy sources. Amongst all the available renewable energy sources, solar energy appears to be a viable option as it is easily and widely available. If used in a proper way, it has a capacity to fulfill numerous energy needs of the world. Hence there is great scope of work in field of solar photovoltaic aiming at improved and efficient performances. Solar PV modules convert solar energy into electrical form but are having high non-linear current-voltage relationship which implies that they can operate at only one single point for maximum power. So extraction of maximum power in itself becomes a challenge under varying set of conditions of irradiation and temperature. A step by step approach is followed to analyze and address the problem with high frequency switching DC-DC converters that act as an interface between the module and the load and adjust the switching duty ratio so as to match the load line with that of Maximum Power Point load line. Further there exist various control algorithms to modify duty ratio. Their study is done and one such technique Incremental Conductance (IncCond) is used to process current and voltage of PV array to get the duty ratio. The results are obtained for changing radiation as well. In the present study, a review of Hill Climbing MPPT techniques, has been carried out with detailed flowcharts of algorithms and includes latest research papers published on MPPT techniques.
We introduce in this paper a new FPGA-based Maximum Power Tracker for photovoltaic systems. The developed approach targets to modify the perturb and observe in view of reaching rapid tracking and achieving excellent accuracy, while keeping the stability performance and the reduced complexity. To perform this improvement, an automatic and smart two steps switcher is integrated, in addition inputs FIR filters are incorporated. Therefore, a high sampling frequency is attained, and consequently the tracking speed is improved. MATLAB simulations and the Xilinx FPGA implementation results show that the improved approach reaches a performance very close to the recently published MPPT methods, with lesser complexity.
This document describes a low-power maximum power point tracker (MPPT) circuit designed for wireless sensor nodes to optimize the transfer of solar energy to batteries. It presents a block diagram of the MPPT system and discusses the design of the MPPT circuit, which includes a voltage controllable power converter and control system. It also describes an adaptive control algorithm to continuously track the maximum power point for varying weather conditions. Simulation results using MATLAB/SIMULINK show the input/output voltage and power waveforms, validating that the MPPT circuit is able to achieve the desired 4V output from a 2V solar cell input under changing irradiance levels.
Modeling and simulation of three phases cascaded H-bridge grid-tied PV inverterjournalBEEI
ย
In this paper a control scheme for three phase seven level cascaded H-bridge inverter for grid tied PV system is presented. As power generation from PV depends on varing environmental conditions, for extractraction of maximum power from PV array, fuzzy MPPT controller is incorporated with each PV array. It gives fast and accurate response. To maintain the grid current
sinusoidal under varying conditions, a digital PI controller scheme is adopted. A MATLAB/Simulink model is developed for this purpose and results are presented. At last THD analysis is carried out in order to validate the performance of the overall system. As discussed, with this control strategy the balanced grid current is obtained keeping THD values with in the specified range of IEEE-519 standard.
IRJET- Simulation and Analysis of Photovoltaic Solar System for Different Wea...IRJET Journal
ย
This document summarizes a simulation and analysis of a photovoltaic solar system for different weather conditions in Anand, India. The proposed system consists of two stages - a DC-DC boost converter to control and boost the DC output voltage of the PV array, and a full-bridge DC-AC inverter to convert the regulated DC voltage to AC voltage. The system was tested in MATLAB simulations under varying load and weather conditions. The results show the output current, voltage, and P-V and I-V curves function as expected with changes in irradiation, temperature, and load.
Grid Connected Solar Photovoltaic Array with MPPT Matlab Simulationijtsrd
ย
Now a days, due to the problem of generation of electricity and consumption required is not sufficient so, solar generation system is essential. Nowadays, with generates electricity to match the required demand. So this paper is important. Here using, 1 Soltech 1STH 215 P solar panel in SIMULINK. In this paper we are control the renewable energy based solar photovoltaic system using MATLAB. The grid connected MATLAB model is studied under solar radiation and changing weather condition. In this we generate excess amount of electricity and send to the utility grid. Here we used MPPT technique which is implemented in DC DC step up converter to permit P V module to give power at maximum power point. The output of this converter is given to the 3 level inverter and it synchronized the utility grid. Payal Ganvir | Radharaman Shaha ""Grid Connected Solar Photovoltaic Array with MPPT Matlab Simulation"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23832.pdf
Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/23832/grid-connected-solar-photovoltaic-array-with-mppt-matlab-simulation/payal-ganvir
Design and Implementation of Maximum Power Point Tracking in Photovoltaic Sys...inventionjournals
ย
ABSTRACT: This paper presents an algorithm for maximum power point tracking to optimize photovoltaic systems. Beta algorithm is a type of MPPT algorithm. It is having fast tracking ability. The algorithm has been verified on a photovoltaic system modeled in Lab VIEW environment. This algorithm significantly improves the efficiency during the tracking.
Similar to Artificial Neural Network for Solar Photovoltaic System Modeling and Simulation (20)
โSix Sigma Techniqueโ A Journey Through its Implementationijtsrd
ย
The manufacturing industries all over the world are facing tough challenges for growth, development and sustainability in todayโs competitive environment. They have to achieve apex position by adapting with the global competitive environment by delivering goods and services at low cost, prime quality and better price to increase wealth and consumer satisfaction. Cost Management ensures profit, growth and sustainability of the business with implementation of Continuous Improvement Technique like Six Sigma. This leads to optimize Business performance. The method drives for customer satisfaction, low variation, reduction in waste and cycle time resulting into a competitive advantage over other industries which did not implement it. The main objective of this paper โSix Sigma Technique A Journey Through Its Implementationโ is to conceptualize the effectiveness of Six Sigma Technique through the journey of its implementation. Aditi Sunilkumar Ghosalkar "โSix Sigma Techniqueโ: A Journey Through its Implementation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64546.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64546/โsix-sigma-techniqueโ-a-journey-through-its-implementation/aditi-sunilkumar-ghosalkar
Edge Computing in Space Enhancing Data Processing and Communication for Space...ijtsrd
ย
Edge computing, a paradigm that involves processing data closer to its source, has gained significant attention for its potential to revolutionize data processing and communication in space missions. With the increasing complexity and data volume generated by modern space missions, traditional centralized computing approaches face challenges related to latency, bandwidth, and security. Edge computing in space, involving on board processing and analysis of data, offers promising solutions to these challenges. This paper explores the concept of edge computing in space, its benefits, applications, and future prospects in enhancing space missions. Manish Verma "Edge Computing in Space: Enhancing Data Processing and Communication for Space Missions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64541.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/64541/edge-computing-in-space-enhancing-data-processing-and-communication-for-space-missions/manish-verma
Dynamics of Communal Politics in 21st Century India Challenges and Prospectsijtsrd
ย
Communal politics in India has evolved through centuries, weaving a complex tapestry shaped by historical legacies, colonial influences, and contemporary socio political transformations. This research comprehensively examines the dynamics of communal politics in 21st century India, emphasizing its historical roots, socio political dynamics, economic implications, challenges, and prospects for mitigation. The historical perspective unravels the intricate interplay of religious identities and power dynamics from ancient civilizations to the impact of colonial rule, providing insights into the evolution of communalism. The socio political dynamics section delves into the contemporary manifestations, exploring the roles of identity politics, socio economic disparities, and globalization. The economic implications section highlights how communal politics intersects with economic issues, perpetuating disparities and influencing resource allocation. Challenges posed by communal politics are scrutinized, revealing multifaceted issues ranging from social fragmentation to threats against democratic values. The prospects for mitigation present a multifaceted approach, incorporating policy interventions, community engagement, and educational initiatives. The paper conducts a comparative analysis with international examples, identifying common patterns such as identity politics and economic disparities. It also examines unique challenges, emphasizing Indias diverse religious landscape, historical legacy, and secular framework. Lessons for effective strategies are drawn from international experiences, offering insights into inclusive policies, interfaith dialogue, media regulation, and global cooperation. By scrutinizing historical epochs, contemporary dynamics, economic implications, and international comparisons, this research provides a comprehensive understanding of communal politics in India. The proposed strategies for mitigation underscore the importance of a holistic approach to foster social harmony, inclusivity, and democratic values. Rose Hossain "Dynamics of Communal Politics in 21st Century India: Challenges and Prospects" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64528.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/history/64528/dynamics-of-communal-politics-in-21st-century-india-challenges-and-prospects/rose-hossain
Assess Perspective and Knowledge of Healthcare Providers Towards Elehealth in...ijtsrd
ย
Background and Objective Telehealth has become a well known tool for the delivery of health care in Saudi Arabia, and the perspective and knowledge of healthcare providers are influential in the implementation, adoption and advancement of the method. This systematic review was conducted to examine the current literature base regarding telehealth and the related healthcare professional perspective and knowledge in the Kingdom of Saudi Arabia. Materials and Methods This systematic review was conducted by searching 7 databases including, MEDLINE, CINHAL, Web of Science, Scopus, PubMed, PsycINFO, and ProQuest Central. Studies on healthcare practitioners telehealth knowledge and perspectives published in English in Saudi Arabia from 2000 to 2023 were included. Boland directed this comprehensive review. The researchers examined each connected study using the AXIS tool, which evaluates cross sectional systematic reviews. Narrative synthesis was used to summarise and convey the data. Results Out of 1840 search results, 10 studies were included. Positive outlook and limited knowledge among providers were seen across trials. Healthcare professionals like telehealth for its ability to improve quality, access, and delivery, save time and money, and be successful. Age, gender, occupation, and work experience also affect health workers knowledge. In Saudi Arabia, healthcare professionals face inadequate expert assistance, patient privacy, internet connection concerns, lack of training courses, lack of telehealth understanding, and high costs while performing telemedicine. Conclusions Healthcare practitioners telehealth perceptions and knowledge were examined in this systematic study. Its collection of concerned experts different personal attitudes and expertise would help enhance telehealths implementation in Saudi Arabia, develop its healthcare delivery alternative, and eliminate frequent problems. Badriah Mousa I Mulayhi | Dr. Jomin George | Judy Jenkins "Assess Perspective and Knowledge of Healthcare Providers Towards Elehealth in Saudi Arabia: A Systematic Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64535.pdf Paper Url: https://www.ijtsrd.com/medicine/other/64535/assess-perspective-and-knowledge-of-healthcare-providers-towards-elehealth-in-saudi-arabia-a-systematic-review/badriah-mousa-i-mulayhi
The Impact of Digital Media on the Decentralization of Power and the Erosion ...ijtsrd
ย
The impact of digital media on the distribution of power and the weakening of traditional gatekeepers has gained considerable attention in recent years. The adoption of digital technologies and the internet has resulted in declining influence and power for traditional gatekeepers such as publishing houses and news organizations. Simultaneously, digital media has facilitated the emergence of new voices and players in the media industry. Digital medias impact on power decentralization and gatekeeper erosion is visible in several ways. One significant aspect is the democratization of information, which enables anyone with an internet connection to publish and share content globally, leading to citizen journalism and bypassing traditional gatekeepers. Another aspect is the disruption of conventional media industry business models, as traditional organizations struggle to adjust to the decrease in advertising revenue and the rise of digital platforms. Alternative business models, such as subscription models and crowdfunding, have become more prevalent, leading to the emergence of new players. Overall, the impact of digital media on the distribution of power and the weakening of traditional gatekeepers has brought about significant changes in the media landscape and the way information is shared. Further research is required to fully comprehend the implications of these changes and their impact on society. Dr. Kusum Lata "The Impact of Digital Media on the Decentralization of Power and the Erosion of Traditional Gatekeepers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64544.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/political-science/64544/the-impact-of-digital-media-on-the-decentralization-of-power-and-the-erosion-of-traditional-gatekeepers/dr-kusum-lata
Online Voices, Offline Impact Ambedkars Ideals and Socio Political Inclusion ...ijtsrd
ย
This research investigates the nexus between online discussions on Dr. B.R. Ambedkars ideals and their impact on social inclusion among college students in Gurugram, Haryana. Surveying 240 students from 12 government colleges, findings indicate that 65 actively engage in online discussions, with 80 demonstrating moderate to high awareness of Ambedkars ideals. Statistically significant correlations reveal that higher online engagement correlates with increased awareness p 0.05 and perceived social inclusion. Variations across colleges and a notable effect of college type on perceived social inclusion highlight the influence of contextual factors. Furthermore, the intersectional analysis underscores nuanced differences based on gender, caste, and socio economic status. Dr. Kusum Lata "Online Voices, Offline Impact: Ambedkar's Ideals and Socio-Political Inclusion - A Study of Gurugram District" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64543.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/political-science/64543/online-voices-offline-impact-ambedkars-ideals-and-sociopolitical-inclusion--a-study-of-gurugram-district/dr-kusum-lata
Problems and Challenges of Agro Entreprenurship A Studyijtsrd
ย
Noting calls for contextualizing Agro entrepreneurs problems and challenges of the agro entrepreneurs and for greater attention to the Role of entrepreneurs in agro entrepreneurship research, we conduct a systematic literature review of extent research in agriculture entrepreneurship to overcome the study objectives of complications of agro entrepreneurs through various factors, Development of agriculture products is a key factor for the overall economic growth of agro entrepreneurs Agro Entrepreneurs produces firsthand large scale employment, utilizes the labor and natural resources, This research outlines the problems of Weather and Soil Erosions, Market price fluctuation, stimulates labor cost problems, reduces concentration of Price volatility, Dependency on Intermediaries, induces Limited Bargaining Power, and Storage and Transportation Costs. This paper mainly devoted to highlight Problems and challenges faced for the sustainable of Agro Entrepreneurs in India. Vinay Prasad B "Problems and Challenges of Agro Entreprenurship - A Study" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64540.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64540/problems-and-challenges-of-agro-entreprenurship--a-study/vinay-prasad-b
Comparative Analysis of Total Corporate Disclosure of Selected IT Companies o...ijtsrd
ย
Disclosure is a process through which a business enterprise communicates with external parties. A corporate disclosure is communication of financial and non financial information of the activities of a business enterprise to the interested entities. Corporate disclosure is done through publishing annual reports. So corporate disclosure through annual reports plays a vital role in the life of all the companies and provides valuable information to investors. The basic objectives of corporate disclosure is to give a true and fair view of companies to the parties related either directly or indirectly like owner, government, creditors, shareholders etc. in the companies act, provisions have been made about mandatory and voluntary disclosure. The IT sector in India is rapidly growing, the trend to invest in the IT sector is rising and employment opportunities in IT sectors are also increasing. Therefore the IT sector is expected to have fair, full and adequate disclosure of all information. Unfair and incomplete disclosure may adversely affect the entire economy. A research study on disclosure practices of IT companies could play an important role in this regard. Hence, the present research study has been done to study and review comparative analysis of total corporate disclosure of selected IT companies of India and to put forward overall findings and suggestions with a view to increase disclosure score of these companies. The researcher hopes that the present research study will be helpful to all selected Companies for improving level of corporate disclosure through annual reports as well as the government, creditors, investors, all business organizations and upcoming researcher for comparative analyses of level of corporate disclosure with special reference to selected IT companies. Dr. Vaibhavi D. Thaker "Comparative Analysis of Total Corporate Disclosure of Selected IT Companies of India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64539.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64539/comparative-analysis-of-total-corporate-disclosure-of-selected-it-companies-of-india/dr-vaibhavi-d-thaker
The Impact of Educational Background and Professional Training on Human Right...ijtsrd
ย
This study investigated the impact of educational background and professional training on human rights awareness among secondary school teachers in the Marathwada region of Maharashtra, India. The key findings reveal that higher levels of education, particularly a masterโs degree, and fields of study related to education, humanities, or social sciences are associated with greater human rights awareness among teachers. Additionally, both pre service teacher training and in service professional development programs focused on human rights education significantly enhance teacherโs knowledge, skills, and competencies in promoting human rights principles in their classrooms. Baig Ameer Bee Mirza Abdul Aziz | Dr. Syed Azaz Ali Amjad Ali "The Impact of Educational Background and Professional Training on Human Rights Awareness among Secondary School Teachers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64529.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/64529/the-impact-of-educational-background-and-professional-training-on-human-rights-awareness-among-secondary-school-teachers/baig-ameer-bee-mirza-abdul-aziz
A Study on the Effective Teaching Learning Process in English Curriculum at t...ijtsrd
ย
โOne Language sets you in a corridor for life. Two languages open every door along the wayโ Frank Smith English as a foreign language or as a second language has been ruling in India since the period of Lord Macaulay. But the question is how much we teach or learn English properly in our culture. Is there any scope to use English as a language rather than a subject How much we learn or teach English without any interference of mother language specially in the classroom teaching learning scenario in West Bengal By considering all these issues the researcher has attempted in this article to focus on the effective teaching learning process comparing to other traditional strategies in the field of English curriculum at the secondary level to investigate whether they fulfill the present teaching learning requirements or not by examining the validity of the present curriculum of English. The purpose of this study is to focus on the effectiveness of the systematic, scientific, sequential and logical transaction of the course between the teachers and the learners in the perspective of the 5Es programme that is engage, explore, explain, extend and evaluate. Sanchali Mondal | Santinath Sarkar "A Study on the Effective Teaching Learning Process in English Curriculum at the Secondary Level of West Bengal" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd62412.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/62412/a-study-on-the-effective-teaching-learning-process-in-english-curriculum-at-the-secondary-level-of-west-bengal/sanchali-mondal
The Role of Mentoring and Its Influence on the Effectiveness of the Teaching ...ijtsrd
ย
This paper reports on a study which was conducted to investigate the role of mentoring and its influence on the effectiveness of the teaching of Physics in secondary schools in the South West Region of Cameroon. The study adopted the convergent parallel mixed methods design, focusing on respondents in secondary schools in the South West Region of Cameroon. Both quantitative and qualitative data were collected, analysed separately, and the results were compared to see if the findings confirm or disconfirm each other. The quantitative analysis found that majority of the respondents 72 of Physics teachers affirmed that they had more experienced colleagues as mentors to help build their confidence, improve their teaching, and help them improve their effectiveness and efficiency in guiding learnersโ achievements. Only 28 of the respondents disagreed with these statements. With majority respondents 72 agreeing with the statements, it implies that in most secondary schools, experienced Physics teachers act as mentors to build teachersโ confidence in teaching and improving studentsโ learning. The interview qualitative data analysis summarized how secondary school Principals use meetings with mentors and mentees to promote mentorship in the school milieu. This has helped strengthen teachersโ classroom practices in secondary schools in the South West Region of Cameroon. With the results confirming each other, the study recommends that mentoring should focus on helping teachers employ social interactions and instructional practices feedback and clarity in teaching that have direct measurable impact on studentsโ learning achievements. Andrew Ngeim Sumba | Frederick Ebot Ashu | Peter Agborbechem Tambi "The Role of Mentoring and Its Influence on the Effectiveness of the Teaching of Physics in Secondary Schools in the South West Region of Cameroon" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64524.pdf Paper Url: https://www.ijtsrd.com/management/management-development/64524/the-role-of-mentoring-and-its-influence-on-the-effectiveness-of-the-teaching-of-physics-in-secondary-schools-in-the-south-west-region-of-cameroon/andrew-ngeim-sumba
Design Simulation and Hardware Construction of an Arduino Microcontroller Bas...ijtsrd
ย
This study primarily focuses on the design of a high side buck converter using an Arduino microcontroller. The converter is specifically intended for use in DC DC applications, particularly in standalone solar PV systems where the PV output voltage exceeds the load or battery voltage. To evaluate the performance of the converter, simulation experiments are conducted using Proteus Software. These simulations provide insights into the input and output voltages, currents, powers, and efficiency under different state of charge SoC conditions of a 12V,70Ah rechargeable lead acid battery. Additionally, the hardware design of the converter is implemented, and practical data is collected through operation, monitoring, and recording. By comparing the simulation results with the practical results, the efficiency and performance of the designed converter are assessed. The findings indicate that while the buck converter is suitable for practical use in standalone PV systems, its efficiency is compromised due to a lower output current. Chan Myae Aung | Dr. Ei Mon "Design Simulation and Hardware Construction of an Arduino-Microcontroller Based DC-DC High-Side Buck Converter for Standalone PV System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64518.pdf Paper Url: https://www.ijtsrd.com/engineering/mechanical-engineering/64518/design-simulation-and-hardware-construction-of-an-arduinomicrocontroller-based-dcdc-highside-buck-converter-for-standalone-pv-system/chan-myae-aung
Sustainable Energy by Paul A. Adekunte | Matthew N. O. Sadiku | Janet O. Sadikuijtsrd
ย
Energy becomes sustainable if it meets the needs of the present without compromising the ability of future generations to meet their own needs. Some of the definitions of sustainable energy include the considerations of environmental aspects such as greenhouse gas emissions, social, and economic aspects such as energy poverty. Generally far more sustainable than fossil fuel are renewable energy sources such as wind, hydroelectric power, solar, and geothermal energy sources. Worthy of note is that some renewable energy projects, like the clearing of forests to produce biofuels, can cause severe environmental damage. The sustainability of nuclear power which is a low carbon source is highly debated because of concerns about radioactive waste, nuclear proliferation, and accidents. The switching from coal to natural gas has environmental benefits, including a lower climate impact, but could lead to delay in switching to more sustainable options. โCarbon capture and storageโ can be built into power plants to remove the carbon dioxide CO2 emissions, but this technology is expensive and has rarely been implemented. Leading non renewable energy sources around the world is fossil fuels, coal, petroleum, and natural gas. Nuclear energy is usually considered another non renewable energy source, although nuclear energy itself is a renewable energy source, but the material used in nuclear power plants is not. The paper addresses the issue of sustainable energy, its attendant benefits to the future generation, and humanity in general. Paul A. Adekunte | Matthew N. O. Sadiku | Janet O. Sadiku "Sustainable Energy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64534.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/64534/sustainable-energy/paul-a-adekunte
Concepts for Sudan Survey Act Implementations Executive Regulations and Stand...ijtsrd
ย
This paper aims to outline the executive regulations, survey standards, and specifications required for the implementation of the Sudan Survey Act, and for regulating and organizing all surveying work activities in Sudan. The act has been discussed for more than 5 years. The Land Survey Act was initiated by the Sudan Survey Authority and all official legislations were headed by the Sudan Ministry of Justice till it was issued in 2022. The paper presents conceptual guidelines to be used for the Survey Act implementation and to regulate the survey work practice, standardizing the field surveys, processing, quality control, procedures, and the processes related to survey work carried out by the stakeholders and relevant authorities in Sudan. The conceptual guidelines are meant to improve the quality and harmonization of geospatial data and to aid decision making processes as well as geospatial information systems. The established comprehensive executive regulations will govern and regulate the implementation of the Sudan Survey Geomatics Act in all surveying and mapping practices undertaken by the Sudan Survey Authority SSA and state local survey departments for public or private sector organizations. The targeted standards and specifications include the reference frame, projection, coordinate systems, and the guidelines and specifications that must be followed in the field of survey work, processes, and mapping products. In the last few decades, there has been a growing awareness of the importance of geomatics activities and measurements on the Earths surface in space and time, together with observing and mapping the changes. In such cases, data must be captured promptly, standardized, and obtained with more accuracy and specified in much detail. The paper will also highlight the current situation in Sudan, the degree to which survey standards are used, the problems encountered, and the errors that arise from not using the standards and survey specifications. Kamal A. A. Sami "Concepts for Sudan Survey Act Implementations - Executive Regulations and Standards" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63484.pdf Paper Url: https://www.ijtsrd.com/engineering/civil-engineering/63484/concepts-for-sudan-survey-act-implementations--executive-regulations-and-standards/kamal-a-a-sami
Towards the Implementation of the Sudan Interpolated Geoid Model Khartoum Sta...ijtsrd
ย
The discussions between ellipsoid and geoid have invoked many researchers during the recent decades, especially during the GNSS technology era, which had witnessed a great deal of development but still geoid undulation requires more investigations. To figure out a solution for Sudans local geoid, this research has tried to intake the possibility of determining the geoid model by following two approaches, gravimetric and geometrical geoid model determination, by making use of GNSS leveling benchmarks at Khartoum state. The Benchmarks are well distributed in the study area, in which, the horizontal coordinates and the height above the ellipsoid have been observed by GNSS while orthometric heights were carried out using precise leveling. The Global Geopotential Model GGM represented in EGM2008 has been exploited to figure out the geoid undulation at the benchmarks in the study area. This is followed by a fitting process, that has been done to suit the geoid undulation data which has been computed using GNSS leveling data and geoid undulation inspired by the EGM2008. Two geoid surfaces were created after the fitting process to ensure that they are identical and both of them could be counted for getting the same geoid undulation with an acceptable accuracy. In this respect, statistical operation played an important role in ensuring the consistency and integrity of the model by applying cross validation techniques splitting the data into training and testing datasets for building the geoid model and testing its eligibility. The geometrical solution for geoid undulation computation has been utilized by applying straightforward equations that facilitate the calculation of the geoid undulation directly through applying statistical techniques for the GNSS leveling data of the study area to get the common equation parameters values that could be utilized to calculate geoid undulation of any position in the study area within the claimed accuracy. Both systems were checked and proved eligible to be used within the study area with acceptable accuracy which may contribute to solving the geoid undulation problem in the Khartoum area, and be further generalized to determine the geoid model over the entire country, and this could be considered in the future, for regional and continental geoid model. Ahmed M. A. Mohammed. | Kamal A. A. Sami "Towards the Implementation of the Sudan Interpolated Geoid Model (Khartoum State Case Study)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63483.pdf Paper Url: https://www.ijtsrd.com/engineering/civil-engineering/63483/towards-the-implementation-of-the-sudan-interpolated-geoid-model-khartoum-state-case-study/ahmed-m-a-mohammed
Activating Geospatial Information for Sudans Sustainable Investment Mapijtsrd
ย
Sudan is witnessing an acceleration in the processes of development and transformation in the performance of government institutions to raise the productivity and investment efficiency of the government sector. The development plans and investment opportunities have focused on achieving national goals in various sectors. This paper aims to illuminate the path to the future and provide geospatial data and information to develop the investment climate and environment for all sized businesses, and to bridge the development gap between the Sudan states. The Sudan Survey Authority SSA is the main advisor to the Sudan Government in conducting surveying, mappings, designing, and developing systems related to geospatial data and information. In recent years, SSA made a strategic partnership with the Ministry of Investment to activate Geospatial Information for Sudans Sustainable Investment and in particular, for the preparation and implementation of the Sudan investment map, based on the directives and objectives of the Ministry of Investment MI in Sudan. This paper comes within the framework of activating the efforts of the Ministry of Investment to develop technical investment services by applying techniques adopted by the Ministry and its strategic partners for advancing investment processes in the country. Kamal A. A. Sami "Activating Geospatial Information for Sudan's Sustainable Investment Map" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63482.pdf Paper Url: https://www.ijtsrd.com/engineering/information-technology/63482/activating-geospatial-information-for-sudans-sustainable-investment-map/kamal-a-a-sami
Educational Unity Embracing Diversity for a Stronger Societyijtsrd
ย
In a rapidly changing global landscape, the importance of education as a unifying force cannot be overstated. This paper explores the crucial role of educational unity in fostering a stronger and more inclusive society through the embrace of diversity. By examining the benefits of diverse learning environments, the paper aims to highlight the positive impact on societal strength. The discussion encompasses various dimensions, from curriculum design to classroom dynamics, and emphasizes the need for educational institutions to become catalysts for unity in diversity. It highlights the need for a paradigm shift in educational policies, curricula, and pedagogical approaches to ensure that they are reflective of the diverse fabric of society. This paper also addresses the challenges associated with implementing inclusive educational practices and offers practical strategies for overcoming barriers. It advocates for collaborative efforts between educational institutions, policymakers, and communities to create a supportive ecosystem that promotes diversity and unity. Mr. Amit Adhikari | Madhumita Teli | Gopal Adhikari "Educational Unity: Embracing Diversity for a Stronger Society" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64525.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/64525/educational-unity-embracing-diversity-for-a-stronger-society/mr-amit-adhikari
Integration of Indian Indigenous Knowledge System in Management Prospects and...ijtsrd
ย
The diversity of indigenous knowledge systems in India is vast and can vary significantly between different communities and regions. Preserving and respecting these knowledge systems is crucial for maintaining cultural heritage, promoting sustainable practices, and fostering cross cultural understanding. In this paper, an overview of the prospects and challenges associated with incorporating Indian indigenous knowledge into management is explored. It is found that IIKS helps in management in many areas like sustainable development, tourism, food security, natural resource management, cultural preservation and innovation, etc. However, IIKS integration with management faces some challenges in the form of a lack of documentation, cultural sensitivity, language barriers legal framework, etc. Savita Lathwal "Integration of Indian Indigenous Knowledge System in Management: Prospects and Challenges" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63500.pdf Paper Url: https://www.ijtsrd.com/management/accounting-and-finance/63500/integration-of-indian-indigenous-knowledge-system-in-management-prospects-and-challenges/savita-lathwal
DeepMask Transforming Face Mask Identification for Better Pandemic Control in...ijtsrd
ย
The COVID 19 pandemic has highlighted the crucial need of preventive measures, with widespread use of face masks being a key method for slowing the viruss spread. This research investigates face mask identification using deep learning as a technological solution to be reducing the risk of coronavirus transmission. The proposed method uses state of the art convolutional neural networks CNNs and transfer learning to automatically recognize persons who are not wearing masks in a variety of circumstances. We discuss how this strategy improves public health and safety by providing an efficient manner of enforcing mask wearing standards. The report also discusses the obstacles, ethical concerns, and prospective applications of face mask detection systems in the ongoing fight against the pandemic. Dilip Kumar Sharma | Aaditya Yadav "DeepMask: Transforming Face Mask Identification for Better Pandemic Control in the COVID-19 Era" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64522.pdf Paper Url: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/64522/deepmask-transforming-face-mask-identification-for-better-pandemic-control-in-the-covid19-era/dilip-kumar-sharma
Streamlining Data Collection eCRF Design and Machine Learningijtsrd
ย
Efficient and accurate data collection is paramount in clinical trials, and the design of Electronic Case Report Forms eCRFs plays a pivotal role in streamlining this process. This paper explores the integration of machine learning techniques in the design and implementation of eCRFs to enhance data collection efficiency. We delve into the synergies between eCRF design principles and machine learning algorithms, aiming to optimize data quality, reduce errors, and expedite the overall data collection process. The application of machine learning in eCRF design brings forth innovative approaches to data validation, anomaly detection, and real time adaptability. This paper discusses the benefits, challenges, and future prospects of leveraging machine learning in eCRF design for streamlined and advanced data collection in clinical trials. Dhanalakshmi D | Vijaya Lakshmi Kannareddy "Streamlining Data Collection: eCRF Design and Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63515.pdf Paper Url: https://www.ijtsrd.com/biological-science/biotechnology/63515/streamlining-data-collection-ecrf-design-and-machine-learning/dhanalakshmi-d
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
ย
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
ย
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
ย
(๐๐๐ ๐๐๐) (๐๐๐ฌ๐ฌ๐จ๐ง ๐)-๐๐ซ๐๐ฅ๐ข๐ฆ๐ฌ
๐๐ข๐ฌ๐๐ฎ๐ฌ๐ฌ ๐ญ๐ก๐ ๐๐๐ ๐๐ฎ๐ซ๐ซ๐ข๐๐ฎ๐ฅ๐ฎ๐ฆ ๐ข๐ง ๐ญ๐ก๐ ๐๐ก๐ข๐ฅ๐ข๐ฉ๐ฉ๐ข๐ง๐๐ฌ:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง ๐ญ๐ก๐ ๐๐๐ญ๐ฎ๐ซ๐ ๐๐ง๐ ๐๐๐จ๐ฉ๐ ๐จ๐ ๐๐ง ๐๐ง๐ญ๐ซ๐๐ฉ๐ซ๐๐ง๐๐ฎ๐ซ:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
Level 3 NCEA - NZ: A Nation In the Making 1872 - 1900 SML.pptHenry Hollis
ย
The History of NZ 1870-1900.
Making of a Nation.
From the NZ Wars to Liberals,
Richard Seddon, George Grey,
Social Laboratory, New Zealand,
Confiscations, Kotahitanga, Kingitanga, Parliament, Suffrage, Repudiation, Economic Change, Agriculture, Gold Mining, Timber, Flax, Sheep, Dairying,
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
ย
Ivรกn Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
Artificial Neural Network for Solar Photovoltaic System Modeling and Simulation
1. International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 3 Issue 5, August 2019
@ IJTSRD | Unique Paper ID โ IJTSRD27867
Artificial Neural Network
System Modeling
Myint Thuzar
1,2Department of Electrical Power Engineering,
How to cite this paper: Myint Thuzar |
Cho Hnin Moh Moh Aung"ArtificialNeural
Network for Solar Photovoltaic System
Modeling and Simulation" Published in
International
Journal of Trend in
Scientific Research
and Development
(ijtsrd), ISSN: 2456-
6470, Volume-3 |
Issue-5, August
2019,pp.2110-2114,
https://doi.org/10.31142/ijtsrd27867
Copyright ยฉ 2019 by author(s) and
International Journal ofTrend inScientific
Research and Development Journal. This
is an Open Access article distributed
under the terms of
the Creative
Commons Attribution
License (CC BY 4.0)
(http://creativecommons.org/licenses/by
/4.0)
In this paper, we presented neural network based MPPT
method. Artificial Neural Network (ANN) is an artificial
network that can able to mimic the human biological neural
networks behavior. ANN widely used in modeling complex
relationships between inputs and outputs
systems. ANN can also be defined as parallel distributed
information processing structure. The ANN consists of
inputs, and at least one hidden layer and one output layer.
These layers have processing elements which are called
neurons interconnected together. To calculate error
contribution of each neuron after a batch of data processing
a method called โback propagationโis used.Back propagation
is commonly used by the gradient descent optimization
algorithm to adjust the weight of neurons by
gradient of the loss function. This technique is also called
back propagation error. This is because the error is
calculated at the output and circulated back through the
network layers.[5] At the end, the result based on the
simulation of the data collected from the photovoltaic array
system is used to train the neutral network and output
efficiency of the designed DC-DC boot converter with MPPT
control strategy is accepted the maximum power amount
and showed the result voltage, current and
each different have been recorded.
2. MATHEMATICAL MODELING of PV ARRAY
The reference modules of PV array is 200.143 W. The basic
building block of PV arrays is the solar cell,whichis basically
a p-n semiconductor junction, shown in Figure 1.[6]
IJTSRD27867
International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 3 Issue 5, August 2019 Available Online: www.ijtsrd.com e-
27867 | Volume โ 3 | Issue โ 5 | July - August 2019
Artificial Neural Network for Solar Photovoltaic
System Modeling and Simulation
Myint Thuzar1, Cho Hnin Moh Moh Aung2
1Professor, 2Student
Department of Electrical Power Engineering, Mandalay Technological University, Mandalay, Myanmar
http://creativecommons.org/licenses/by
ABSTRACT
This paper presented neural network based maximum power point tracking
on the design of photovoltaic power input to a DC
load. Simulink model of photovoltaic array tested the neural network with
different temperature and irradiance for maximum power point of a
photovoltaic system. DC-DC boot converter is used in load when an average
output voltage is stable required which can be lower thantheinputvoltage.At
the end, the different temperature and irradiance of the data collected
the photovoltaic array system is used to train the neutral network and output
efficiency of the designed DC-DC boot converter with MPPTcontrolstrategyis
accepted the maximum power amount to show the result voltage,currentand
power output for each different have been presented. And also
that the neural network based MPPT tracking require less time and more
accurate results than the other algorithm based MPPT
KEYWORDS: NeuralNetwork;MaximumPower Point;Irradiance& Temperature;
DC-DC Boot Converter
1. INTRODUCTION
The main principle of MPPT is responsible for extractingthemaximumpossible
power from the photovoltaic and feed it to the load via DC to DC converter
which steps up/steps down the voltage to required magnitude.
techniques have been used in past but Perturb & Observe (P&O) algorithm is
most widely accepted. [1,2] P&O algorithm has also been shown to provide
wrong tracking with rapidly varying irradiance.[3
per, we presented neural network based MPPT
method. Artificial Neural Network (ANN) is an artificial
network that can able to mimic the human biological neural
networks behavior. ANN widely used in modeling complex
relationships between inputs and outputs in nonlinear
systems. ANN can also be defined as parallel distributed
information processing structure. The ANN consists of
inputs, and at least one hidden layer and one output layer.
These layers have processing elements which are called
ected together. To calculate error
contribution of each neuron after a batch of data processing
a method called โback propagationโis used.Back propagation
is commonly used by the gradient descent optimization
algorithm to adjust the weight of neurons by calculating the
gradient of the loss function. This technique is also called
back propagation error. This is because the error is
calculated at the output and circulated back through the
network layers.[5] At the end, the result based on the
the data collected from the photovoltaic array
system is used to train the neutral network and output
DC boot converter with MPPT
control strategy is accepted the maximum power amount
poweroutputfor
MATHEMATICAL MODELING of PV ARRAY
The reference modules of PV array is 200.143 W. The basic
building block of PV arrays is the solar cell,whichis basically
Figure 1.[6]
The following equations define the model of a PV panel:
shdoutph IIII ๏ซ๏ซ๏ฝ
๏จ ๏ฉ
๏ช
๏ซ
๏ฉ
๏ญ๏ท
๏ธ
๏ถ
๏ง
๏จ
๏ฆ ๏ซ
๏ฝ
KTN
IRVq
expII
s
s
satd
shdphout IIII ๏ญ๏ญ๏ฝ
๏จ ๏ฉ
๏ช
๏ซ
๏ฉ
๏ท
๏ธ
๏ถ
๏ง
๏จ
๏ฆ ๏ซ
๏ญ๏ฝ
s
satphout
nKT
IRVq
expIII
In this equations, Isat is the reverse saturated current of
diode, q is the electron charge, V is the voltage across the
International Journal of Trend in Scientific Research and Development (IJTSRD)
-ISSN: 2456 โ 6470
August 2019 Page 2110
Solar Photovoltaic
nd Simulation
Mandalay Technological University, Mandalay, Myanmar
This paper presented neural network based maximum power point tracking
on the design of photovoltaic power input to a DC-DC boot converter to the
load. Simulink model of photovoltaic array tested the neural network with
for maximum power point of a
DC boot converter is used in load when an average
output voltage is stable required which can be lower thantheinputvoltage.At
the end, the different temperature and irradiance of the data collected from
the photovoltaic array system is used to train the neutral network and output
DC boot converter with MPPTcontrolstrategyis
accepted the maximum power amount to show the result voltage,currentand
different have been presented. And also demonstrated
that the neural network based MPPT tracking require less time and more
accurate results than the other algorithm based MPPT.
NeuralNetwork;MaximumPower Point;Irradiance& Temperature;
The main principle of MPPT is responsible for extractingthemaximumpossible
power from the photovoltaic and feed it to the load via DC to DC converter
which steps up/steps down the voltage to required magnitude. Various MPPT
techniques have been used in past but Perturb & Observe (P&O) algorithm is
P&O algorithm has also been shown to provide
wrong tracking with rapidly varying irradiance.[3-4]
The following equations define the model of a PV panel:
(1)
๏บ
๏ป
๏น
1
(2)
(3)
๏ท
๏ธ
๏ถ
๏ง
๏จ
๏ฆ ๏ซ
๏ญ๏บ
๏ป
๏น
๏ญ๏ท
๏ธ
๏ถ
sh
s
R
IRV
1
(4)
In this equations, Isat is the reverse saturated current of
diode, q is the electron charge, V is the voltage across the
2. International Journal of Trend in Scientific Research and Development (IJTSRD)
@ IJTSRD | Unique Paper ID โ IJTSRD27867
diode, I is output current, Rse is series resistance, Rsh is
shunt resistance, n is ideality factor of the diode, k is the
Boltzmanโs constant and T is the junction temperature in
Kelvin.
Figure2 Typical I-V and PV characteristics of a PV
module [7]
In the figure can be observe that at voltage Vm the power is
at the maximum. This is the maximum power point of PV
characteristics that we need to track using MPPT algorithm.
A. Modeling and Simulation of PV Array
For the modeling of PV array, we used MATLAB Simulink.
The simulation model is based on equations 1 to 4. Simulink
model of PV array subsystem is constructed and P
characteristics of the PV array with different irradiance and
temperature are shown in Figure 3 & Figure 4.
TABLE I. Parameters of the KC200GT PV Module at
25ยฐC
Parameters Symbols
Current at Maximum Power Imax
Voltage at Maximum Power Vmax
Maximum Power Pmax
Short Circuit Current Isc
Open Circuit Voltage Voc
Ideality Factor Ns
Figure 3 P-V Characteristics of PV Array Various
irradiance
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com
27867 | Volume โ 3 | Issue โ 5 | July - August 2019
diode, I is output current, Rse is series resistance, Rsh is
shunt resistance, n is ideality factor of the diode, k is the
onstant and T is the junction temperature in
V and PV characteristics of a PV
In the figure can be observe that at voltage Vm the power is
at the maximum. This is the maximum power point of PV
need to track using MPPT algorithm.
Modeling and Simulation of PV Array
For the modeling of PV array, we used MATLAB Simulink.
The simulation model is based on equations 1 to 4. Simulink
model of PV array subsystem is constructed and P-V
of the PV array with different irradiance and
temperature are shown in Figure 3 & Figure 4.
TABLE I. Parameters of the KC200GT PV Module at
Symbols Ratings
7.62 A
26.3 A
200.143 W
8.21 A
32.9 V
54
V Characteristics of PV Array Various
Figure4 P-V Characteristics of PV Array Various
temperature
From Figures, we saw with irradiance increased, power
increased and temperature increased, power decrease.
Hence, this Simulink model is determine the characteristics
of PV array. Hence the Simulink model is correct.
3. MATHEMATICAL EQUATION of DC
CONVERTER
D =
I =
d = I ร I ร
๐ฟ =
ร( )
C =
ร
Where, D = duty cycle of the boot converter; Vin = input
voltage of the PV module; Vout = output voltage of
converter; Iout= output current of the boot converter;Pout=
output power of the boot converter; Iripple= ripple current
of the inductor; L= inductor of the boost converter; C=
capacitor of the boot converter.
Figure 5 DC-DC Boot Converters and Con
Algorithm [8]
www.ijtsrd.com eISSN: 2456-6470
August 2019 Page 2111
V Characteristics of PV Array Various
temperature
Figures, we saw with irradiance increased, power
increased and temperature increased, power decrease.
Hence, this Simulink model is determine the characteristics
of PV array. Hence the Simulink model is correct.
MATHEMATICAL EQUATION of DC-DC BOOT
(5)
(6)
(7)
(8)
(9)
Where, D = duty cycle of the boot converter; Vin = input
voltage of the PV module; Vout = output voltage of the
converter; Iout= output current of the boot converter;Pout=
output power of the boot converter; Iripple= ripple current
of the inductor; L= inductor of the boost converter; C=
capacitor of the boot converter.
DC Boot Converters and Control
Algorithm [8]
3. International Journal of Trend in Scientific Research and Development (IJTSRD)
@ IJTSRD | Unique Paper ID โ IJTSRD27867
The principle drives the boost converter is the tendency of
an inductor to resist changes in the current. When being
charged it acts as a load and absorbs energy; when being
discharged it acts as an energy source. The voltage it
produces during the discharge phase is related to the rate of
change of current, and not to the original charging voltage,
thus allowing different input from the PV array and output
voltages to the DC load. In MPPT systems, this signal is
controlled by MPPT controller is shown in proposed model
in Figure 6. By changing the duty cycletheloadimpedance as
seen by the source is varied and matched at the point of the
peak power with the source so as to transfer the maximum
power. The simulation results of the solar P
controller algorithm is shown in Figure 7.
TABLE II. Parameter of DC Load for Simulation
Parameters Specification
Constant Torque 0.9 Nm
Initial Speed 10 rad/s
Armature Resistance 1.2 ฮฉ
Inductance, La 2.4 mH
TABLE III. Parameter of DC-DC Boot Converter
Simulation Result
Parameters Ratings
Output Current 4.5 A
Input Voltage 26.3 A
Power Converter 200.143 W
Switching Frequency 20 kHz
Output Voltage 45 V
Inductance 0.1774 mH
Capacitance 220.7 ยตF
Figure6 Simulink Model of DC-DC Boot Converter
Figure7 Outputs and Input Voltage of Boot Converter
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com
27867 | Volume โ 3 | Issue โ 5 | July - August 2019
The principle drives the boost converter is the tendency of
an inductor to resist changes in the current. When being
charged it acts as a load and absorbs energy; when being
discharged it acts as an energy source. The voltage it
during the discharge phase is related to the rate of
change of current, and not to the original charging voltage,
thus allowing different input from the PV array and output
voltages to the DC load. In MPPT systems, this signal is
ller is shown in proposed model
in Figure 6. By changing the duty cycletheloadimpedance as
seen by the source is varied and matched at the point of the
peak power with the source so as to transfer the maximum
power. The simulation results of the solar PV with MPPT
TABLE II. Parameter of DC Load for Simulation
Specification
0.9 Nm
10 rad/s
1.2 ฮฉ
2.4 mH
Boot Converter
Ratings
4.5 A
26.3 A
200.143 W
20 kHz
45 V
0.1774 mH
220.7 ยตF
Boot Converter
7 Outputs and Input Voltage of Boot Converter.
A. Artificial Neural Network Base MPPT Technique
In this work, the Levenberg
implemented using MATLAB to train the neural network.
The Levenberg-Marquardt method is
accurate technique for solving nonlinear least squares
problems. Since thevariations oftemperatureandirradiance
effect are highly nonlinear in producing the output power
and voltage, we decided to use the LevenbergMarquardt
algorithm to train the neural network. The following steps
describe how we implement theneural network basedMPPT
for a PV array.[9,10].
B. Selecting Network Structure
The input information is connected to the hidden layers
through weighted interconnections wherethe
calculated. The number of hidden layers and the number of
neurons in each layer controls the performance of the
network. Neural network is a trial and error design method.
The ANN developed in this paper with two inputs solar
irradiance and temperature, oneoutputlayerconsistsoftwo
neurons (Vmax, Pmax) and one hidden layer, shown in
Figure 8.
Figure8 Block Diagram of ANN with Two Layers
C. Collecting Data and Training the Network
The Simulink model of PV array is simulated for a range
solar irradiances and temperatures to find corresponding
Pmax and Vmax shown in Figure 9. The training points are
passed into the designed network to teach it how toperform
when different points than thetrainingpointsareinserted to
it. After training of the neural network is completed, then 5
of the collected data points are used as test points. The
function of test points is to evaluate the performance of the
designed ANN after its training is finished. The error is then
feedback to the neural network for further training. The
network is trained using the MATLAB NNET tool box.
www.ijtsrd.com eISSN: 2456-6470
August 2019 Page 2112
Artificial Neural Network Base MPPT Technique
In this work, the Levenberg-Marquardt algorithm is
implemented using MATLAB to train the neural network.
Marquardt method is a very fast and
accurate technique for solving nonlinear least squares
problems. Since thevariations oftemperatureandirradiance
effect are highly nonlinear in producing the output power
and voltage, we decided to use the LevenbergMarquardt
o train the neural network. The following steps
describe how we implement theneural network basedMPPT
Selecting Network Structure
The input information is connected to the hidden layers
through weighted interconnections wheretheoutput data is
calculated. The number of hidden layers and the number of
neurons in each layer controls the performance of the
network. Neural network is a trial and error design method.
The ANN developed in this paper with two inputs solar
temperature, oneoutputlayerconsistsoftwo
neurons (Vmax, Pmax) and one hidden layer, shown in
Figure8 Block Diagram of ANN with Two Layers
Collecting Data and Training the Network
The Simulink model of PV array is simulated for a range of
solar irradiances and temperatures to find corresponding
Pmax and Vmax shown in Figure 9. The training points are
passed into the designed network to teach it how toperform
when different points than thetrainingpointsareinserted to
ing of the neural network is completed, then 5
of the collected data points are used as test points. The
function of test points is to evaluate the performance of the
designed ANN after its training is finished. The error is then
work for further training. The
network is trained using the MATLAB NNET tool box.
4. International Journal of Trend in Scientific Research and Development (IJTSRD)
@ IJTSRD | Unique Paper ID โ IJTSRD27867
Figure 9 Training the Neural Network with MATLAB
NNET toolbox
D. Result and Discussion for Neural Network MPPT
The network which was fully trained withthelowest error
capable to be used in the testing process.Performanceresult
of ANN to minimize the RMS error in the training
performance curve. Network was trained until it achieved a
very small MSE typically 6.19e-06 which reached after 6
epochs. We can observe that the outputs from the neural
model closely match the target values. For 5 new testing
input irradiance and temperature data points the neural
network has been tested. In shown in Figure 11 to Figure 16
we can see that, at each time, the neural network prov
Pmax and Vmax data points clearly matched with measured
data points from the actual Simulink model.
Figure10 Simulink Model Data Collection for ANN
Figure11 Vmax from Neural Network and actual
Simulink model with different temperature testing
point
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com
27867 | Volume โ 3 | Issue โ 5 | July - August 2019
Figure 9 Training the Neural Network with MATLAB
Result and Discussion for Neural Network MPPT
The network which was fully trained withthelowest error is
capable to be used in the testing process.Performanceresult
of ANN to minimize the RMS error in the training
performance curve. Network was trained until it achieved a
06 which reached after 6
the outputs from the neural
model closely match the target values. For 5 new testing
input irradiance and temperature data points the neural
network has been tested. In shown in Figure 11 to Figure 16
we can see that, at each time, the neural network provided
Pmax and Vmax data points clearly matched with measured
data points from the actual Simulink model.
10 Simulink Model Data Collection for ANN
Figure11 Vmax from Neural Network and actual
Simulink model with different temperature testing
Figure12 Imax from Neural Network and actual
Simulink model with different temperature testing
point
Figure13 Pmax from Neural Network and actual
Simulink model with different temperature testing
point
.
Figure 14 Vmax from Neural Network and
Simulink model with different irradiance testing point
Figure 15 Imax from Neural Network and actual
Simulink model with different irradiance testing point
www.ijtsrd.com eISSN: 2456-6470
August 2019 Page 2113
12 Imax from Neural Network and actual
Simulink model with different temperature testing
point
Figure13 Pmax from Neural Network and actual
Simulink model with different temperature testing
point
Figure 14 Vmax from Neural Network and actual
Simulink model with different irradiance testing point
Figure 15 Imax from Neural Network and actual
Simulink model with different irradiance testing point
5. International Journal of Trend in Scientific Research and Development (IJTSRD)
@ IJTSRD | Unique Paper ID โ IJTSRD27867
Figure16 Pmax from Neural Network and actual
Simulink model with different irradiance te
4. CONCLUSION
The main goal of the MPPT technique is to extract the
maximum power available in the PV array. 200.143W PV
array is developed by using MATLAB/Simulink. The
irradiance and temperature are two factors forwhichthe PV
array output power varies. But we are not showed the
comparison withotherMPPTtechniquemethods.Theneural
network is trained by using IrandT(ยฐK)inputdataandPmax
and Vmax output data. From the figure, weobservedthatthe
tested data exactly matched with targe
training of neural network has been proved accurate. We
tested the neural network for 5 new input data (Ir, T (ยฐK)),
we observed from the graph that theoutput(Pmax,Vmax)of
neural network exactly matched with actual 200.143 W PV
array output. By using the neural networkatanirradianceof
1000 W/m2 and temperature of 25ยฐC (298ยฐK), wewereable
to obtain the output power of 198.1813W at 25.8174V. The
actual 200.143 W Simulink model of PV array shows the
maximum power of 200W at 26.3V. Hen
network algorithm can received more accurate results. The
maximum power output we are getting from solar array
alone is around 200W. To get this constant output voltage,
we implemented the MPPT Algorithms with DC
Converter. In future work, we would like to develop two
different working model of Solar Photovoltaic system
employing these algorithms practically using Buck and Cuk
Converter.
5. ACKNOWLEDGEMENT
The author is especially indebted and grateful to my parents
for their encouragement. The author would like to express
International Journal of Trend in Scientific Research and Development (IJTSRD) @ www.ijtsrd.com
27867 | Volume โ 3 | Issue โ 5 | July - August 2019
16 Pmax from Neural Network and actual
Simulink model with different irradiance testing point
The main goal of the MPPT technique is to extract the
maximum power available in the PV array. 200.143W PV
array is developed by using MATLAB/Simulink. The
irradiance and temperature are two factors forwhichthe PV
power varies. But we are not showed the
comparison withotherMPPTtechniquemethods.Theneural
network is trained by using IrandT(ยฐK)inputdataandPmax
and Vmax output data. From the figure, weobservedthatthe
tested data exactly matched with target values; hence
training of neural network has been proved accurate. We
tested the neural network for 5 new input data (Ir, T (ยฐK)),
we observed from the graph that theoutput(Pmax,Vmax)of
neural network exactly matched with actual 200.143 W PV
tput. By using the neural networkatanirradianceof
1000 W/m2 and temperature of 25ยฐC (298ยฐK), wewereable
to obtain the output power of 198.1813W at 25.8174V. The
actual 200.143 W Simulink model of PV array shows the
maximum power of 200W at 26.3V. Hence the neural
network algorithm can received more accurate results. The
maximum power output we are getting from solar array
alone is around 200W. To get this constant output voltage,
we implemented the MPPT Algorithms with DC-DC Boost
work, we would like to develop two
different working model of Solar Photovoltaic system
employing these algorithms practically using Buck and Cuk
The author is especially indebted and grateful to my parents
ment. The author would like to express
her thanks to partner fieldโs student and all
Mandalay Technological University.
REFERENCES
[1] A. Mellit, S.A. Kalogirou, L. Hontoria, et al. Artificial
intelligence techniques forsizingphotovoltaic syst
a review. Renewable Sustainable Energy Rev.
2009;13(2):406โ419
[2] V. Salas, E. Olias, A. Barrado, et al. Review of the
maximum power point tracking algorithms for stand
alone photovoltaic systems. Sol Energy Mater Sol Cells.
2006;90(11):1555โ1578.
[3] R. Sridhar, N. Thamizh Selvan, S. Jeevananthan and P.
Sujith Chowdary, "Performance improvement of a
photo voltaic array usingMPPT(P&O)technique,"
2010 International Conference on Communation
Control and Computing Technologies,
Ramanathapuram, 2010, pp. 1
10.1109/ICCCCT.2010.5670550
[4] S. Haykin, (1998). Neural Networks: A Comprehensive
Foundation (2nd ed.): Prentice Hall.[8]
[5] K. Karabacak, N. Cetin. Artificial neural networks for
controlling wind-PV power systems: A review. Renew
Sustain Energy Rev. 2014;29:804
[6] HR. Kamath, RS. Aithal, PKSA. Kumar, et al. Modelingof
Photovoltaic Array and MaximumPowerPointTracker
Using ANN. 2012;1โ13
[7] H. Ibrahim, N. Anani. Variations of PV module
parameters with irradiance and temperature. Energy
Procedia. 2017;134:276
[8] B.C. Babu, T. Cermak, S. Gurjar, et al. Analysis of
mathematical modeling of PV module with MPPT
algorithm. 2015 IEEE 15th International Conference
Environment and Electrical Engineering;2015 June10
13; Rome, Italy. IEEE; 2015.
[9] Jay Patel, Vishal Sheth, Gaurang Sharma, โDesign &
Simulation of Photovoltaic System Using Incremental
MPPT Algorithmโ, International Journal of Advanced
Research in Electrical,ElectronicsandInstrumentation
Engineering Vol. 2, Issue 5, May 2013.
[10] S. Pukhrem. A Photovoltaic Panel Model in
Matlab/Simulink. MathWorks. 2013;20
www.ijtsrd.com eISSN: 2456-6470
August 2019 Page 2114
her thanks to partner fieldโs student and all teachers from
Mandalay Technological University.
A. Mellit, S.A. Kalogirou, L. Hontoria, et al. Artificial
intelligence techniques forsizingphotovoltaic systems:
a review. Renewable Sustainable Energy Rev.
V. Salas, E. Olias, A. Barrado, et al. Review of the
maximum power point tracking algorithms for stand-
alone photovoltaic systems. Sol Energy Mater Sol Cells.
1578.
dhar, N. Thamizh Selvan, S. Jeevananthan and P.
Sujith Chowdary, "Performance improvement of a
photo voltaic array usingMPPT(P&O)technique,"
2010 International Conference on Communation
Control and Computing Technologies,
Ramanathapuram, 2010, pp. 191-195. doi:
10.1109/ICCCCT.2010.5670550
S. Haykin, (1998). Neural Networks: A Comprehensive
Foundation (2nd ed.): Prentice Hall.[8]
K. Karabacak, N. Cetin. Artificial neural networks for
PV power systems: A review. Renew
v. 2014;29:804โ827.
HR. Kamath, RS. Aithal, PKSA. Kumar, et al. Modelingof
Photovoltaic Array and MaximumPowerPointTracker
H. Ibrahim, N. Anani. Variations of PV module
parameters with irradiance and temperature. Energy
017;134:276โ285.
B.C. Babu, T. Cermak, S. Gurjar, et al. Analysis of
mathematical modeling of PV module with MPPT
algorithm. 2015 IEEE 15th International Conference
Environment and Electrical Engineering;2015 June10-
13; Rome, Italy. IEEE; 2015.
Patel, Vishal Sheth, Gaurang Sharma, โDesign &
Simulation of Photovoltaic System Using Incremental
MPPT Algorithmโ, International Journal of Advanced
Research in Electrical,ElectronicsandInstrumentation
Engineering Vol. 2, Issue 5, May 2013.
A Photovoltaic Panel Model in
Matlab/Simulink. MathWorks. 2013;20โ23