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.
Dc-Dc boost converter topologies and MPPT techniques for Grid connected PV sy...rameshwar meena
1. Modeling of Dc-Dc boost converter in MATLAB Simulink.
2. MATLAB Simulink of P&O techniques and Incremental conductance.
3. Ac grid connected to solar PV array via dc-dc boost converter and Dc-Ac converter.
These slides present the maximum power point tracking (MPPT ) algorithms for solar (PV) systems. Later of the class we will discuss on MPPT control of wind generators.
Its a comparison of performance of MPPT controllers in case of solar PV array under same working conditions. The MPPT controllers used are Artificial Neural Network and P&O based.
Dc-Dc boost converter topologies and MPPT techniques for Grid connected PV sy...rameshwar meena
1. Modeling of Dc-Dc boost converter in MATLAB Simulink.
2. MATLAB Simulink of P&O techniques and Incremental conductance.
3. Ac grid connected to solar PV array via dc-dc boost converter and Dc-Ac converter.
These slides present the maximum power point tracking (MPPT ) algorithms for solar (PV) systems. Later of the class we will discuss on MPPT control of wind generators.
Its a comparison of performance of MPPT controllers in case of solar PV array under same working conditions. The MPPT controllers used are Artificial Neural Network and P&O based.
Power factor improvement is the essence of any power sector for realible operations. This report provides literature study of a fixed capacitor thyristor controlled reactor type of power factor compensator by matlab simulation and implementation in programmed microcontroller. To retaining power factor closed to unity under various load condition the arduino ATmega8 microcontroller is used which is programmed by keil software. The simulation is done using proteus software which display power factor according to the variation in load whenever a capacitive load is connected to the transmission line, a shunt reactor is connected which injects lagging reactive VARs to the power system. This report also includes the matlab simulation for three phase power factor improvement by using fixed capacitor thyristor controlled reactor. As a
result the power factor is improved. The results given in this report provides
suitable matlab simulation and proteus simulation based reactor power compensation and power factor improvement and techniques using a FCTCR.
seminar on SMART GRID is the best seminar of my branch
technology based on smart to integration of information technology on traditional power system
It may be best to understood Smart Grid as the overlaying of a unified communications and control system on the existing power delivery infrastructure to provide the right information to the right entity (e.g. end-use devices, transmission and distribution, system controls, customers, etc.) at the right time to take the right action. It is a system that optimizes power supply and delivery, minimizes losses, is self-healing, and enables next-generation energy efficiency and demand response applications.
To have connections between suppliers, distributors and consumers.
In definition, Smart Grid is a form of electricity network utilizing digital technology.
Its delivers electricity from suppliers to consumers using two-way digital communications to control appliances at consumers' homes; which in deed will saving the energy, reduce costs and increase reliability.
A key feature of the smart grid is automation technology that lets the utility adjust and control each individual device or millions of devices from a central location.
A Smart Grid must functions as followings
1. Be able to heal itself
Smart Grid is designed with a control system that self-analyzes its performance using intelligent autonomous reinforcement learning controllers that are able to learn new strategies and successfully implementing such strategies to govern the behavior of the grid in the face of an ever changing environment such as equipment failures.
2. Motivate consumers to actively participate in operations of the grid
If consumers have freedom to control own usage of energy, they will be motivated to participate and be part of the system. They can monitor their usage and manipulate by the assistance of “smart appliances” and “intelligent equipment” in homes or businesses. Advanced communications capabilities equip customers with tools to exploit real-time electricity pricing, incentive-based load reduction signals, or emergency load reduction signals.
3. Resist attack
Most important issues of resist attack is the smart monitoring of power grids, which is the basis of control and management of smart grids to avoid or mitigate the system-wide disruptions like blackouts.
4. Accommodate all energy generation and storage options
Smart Grid integrates two power generation source; traditional power generation likes fossil fuel powered power plant with renewable power generations either generates from residential, commercial, and industrial customers that will improves reliability and power quality, reduces electricity costs, and offers more customer choice.
5. High quality power
Outages and power quality issues is common for any country especially for major industrial-based countries. Smart Grid provides more stable power provided that will reduce downtime and prevent such high losses because of
The electric power supplied by a photovoltaic power generation system depends on the solar radiation and temperature. Designing efficient PV systems heavily emphasizes to track the maximum power operating point.
This work develops a three-point weight comparison method that avoids the oscillation problem of the perturbation and observation algorithm which is often employed to track the maximum power point. Furthermore, a low cost control unit is developed, based on a single chip to adjust the output voltage of the solar cell array.
here dc-dc boost converter designed in MATLAB Simulink and MPPT controller designed in 2 methods(P&O and incremental conductance).
finally, I connect it to Ac grid via the Dc-Ac converter.
this entire system called grid-connected PV system.
The solar energy is converted to electrical energy by photo-voltaic cells. This energy is stored in batteries during day time for utilizing the same during night time. A charge controller, or charge regulator is basically a voltage and/or current regulator to keep batteries from overcharging. It regulates the voltage and current coming from the solar panels going to the battery.
GRID INTERCONNECTION OF RENEWABLE ENERGY SOURCES AT DISTRIBUTION LEVEL WITH P...Pradeep Avanigadda
Renewable energy resources (RES) are being increasingly connected in distribution systems utilizing power electronic converters. This project presents a novel control strategy for achieving maximum benefits from these grid-interfacing inverters when installed in 3-phase 4-wire distribution systems. The inverter is controlled to perform as a multi-function device by incorporating active power filter functionality. The inverter can thus be utilized as: 1) power converter to inject power generated from RES to the grid, and 2) shunt APF to compensate current unbalance, load current harmonics, load reactive power demand and load neutral current. All of these functions may be accomplished either individually or simultaneously. With such a control, the combination of grid-interfacing inverter and the 3-phase 4-wire linear/non-linear unbalanced load at point of common coupling appears as balanced linear load to the grid. This new control concept is demonstrated with extensive MATLAB/ Simulink simulation studies and validated through digital signal processor-based laboratory experimental results.
DSTATCOM IS USED IN DISTRIBUTION SYSTEM TO IMPROVE POWER QUALITY LIKE PF CORRECTION,VOLTAGE SAG OR SWELL,HARMONICS ELEMINATION,ETC.VARIOUS CONTROL STRATEGY COMPARISION FOR DSTATCOM.ADVANTAGES AND DISADVANTAGES OF DSTATCOM.APPLICATION OF STASTCOM IN INDIA.
Advance Solar charge controller with lot of benefits. An advantage over common PWM Solar charge controller. Double Boost Technique is used to get a desired output.
This slides are the Ph.D. work presentation on Active Power Filter design and implementation for harmonic elimination in micro-grid and electric vehicle
Real Time Implementation of Variable Step Size Based P&O MPPT for PV Systems ...IJPEDS-IAES
Nowadays Solar energy is an important energy source due to the energy crisis and environment pollution. Maximum power point tracking (MPPT) algorithm improves the utilization efficiency of a photovoltaic systems. In this paper an improved P&O MPPT algorithm is developed and simulated using MATLAB / SIMULINK to control the DC/DC buck converter. The obtained simulink model is also verified using dspace tool. Both the simulated and experimental results are validated by also comparing them with conventional MPPT methods. The performance measures show the increase in the efficiency of PV system by the proposed model.
Power factor improvement is the essence of any power sector for realible operations. This report provides literature study of a fixed capacitor thyristor controlled reactor type of power factor compensator by matlab simulation and implementation in programmed microcontroller. To retaining power factor closed to unity under various load condition the arduino ATmega8 microcontroller is used which is programmed by keil software. The simulation is done using proteus software which display power factor according to the variation in load whenever a capacitive load is connected to the transmission line, a shunt reactor is connected which injects lagging reactive VARs to the power system. This report also includes the matlab simulation for three phase power factor improvement by using fixed capacitor thyristor controlled reactor. As a
result the power factor is improved. The results given in this report provides
suitable matlab simulation and proteus simulation based reactor power compensation and power factor improvement and techniques using a FCTCR.
seminar on SMART GRID is the best seminar of my branch
technology based on smart to integration of information technology on traditional power system
It may be best to understood Smart Grid as the overlaying of a unified communications and control system on the existing power delivery infrastructure to provide the right information to the right entity (e.g. end-use devices, transmission and distribution, system controls, customers, etc.) at the right time to take the right action. It is a system that optimizes power supply and delivery, minimizes losses, is self-healing, and enables next-generation energy efficiency and demand response applications.
To have connections between suppliers, distributors and consumers.
In definition, Smart Grid is a form of electricity network utilizing digital technology.
Its delivers electricity from suppliers to consumers using two-way digital communications to control appliances at consumers' homes; which in deed will saving the energy, reduce costs and increase reliability.
A key feature of the smart grid is automation technology that lets the utility adjust and control each individual device or millions of devices from a central location.
A Smart Grid must functions as followings
1. Be able to heal itself
Smart Grid is designed with a control system that self-analyzes its performance using intelligent autonomous reinforcement learning controllers that are able to learn new strategies and successfully implementing such strategies to govern the behavior of the grid in the face of an ever changing environment such as equipment failures.
2. Motivate consumers to actively participate in operations of the grid
If consumers have freedom to control own usage of energy, they will be motivated to participate and be part of the system. They can monitor their usage and manipulate by the assistance of “smart appliances” and “intelligent equipment” in homes or businesses. Advanced communications capabilities equip customers with tools to exploit real-time electricity pricing, incentive-based load reduction signals, or emergency load reduction signals.
3. Resist attack
Most important issues of resist attack is the smart monitoring of power grids, which is the basis of control and management of smart grids to avoid or mitigate the system-wide disruptions like blackouts.
4. Accommodate all energy generation and storage options
Smart Grid integrates two power generation source; traditional power generation likes fossil fuel powered power plant with renewable power generations either generates from residential, commercial, and industrial customers that will improves reliability and power quality, reduces electricity costs, and offers more customer choice.
5. High quality power
Outages and power quality issues is common for any country especially for major industrial-based countries. Smart Grid provides more stable power provided that will reduce downtime and prevent such high losses because of
The electric power supplied by a photovoltaic power generation system depends on the solar radiation and temperature. Designing efficient PV systems heavily emphasizes to track the maximum power operating point.
This work develops a three-point weight comparison method that avoids the oscillation problem of the perturbation and observation algorithm which is often employed to track the maximum power point. Furthermore, a low cost control unit is developed, based on a single chip to adjust the output voltage of the solar cell array.
here dc-dc boost converter designed in MATLAB Simulink and MPPT controller designed in 2 methods(P&O and incremental conductance).
finally, I connect it to Ac grid via the Dc-Ac converter.
this entire system called grid-connected PV system.
The solar energy is converted to electrical energy by photo-voltaic cells. This energy is stored in batteries during day time for utilizing the same during night time. A charge controller, or charge regulator is basically a voltage and/or current regulator to keep batteries from overcharging. It regulates the voltage and current coming from the solar panels going to the battery.
GRID INTERCONNECTION OF RENEWABLE ENERGY SOURCES AT DISTRIBUTION LEVEL WITH P...Pradeep Avanigadda
Renewable energy resources (RES) are being increasingly connected in distribution systems utilizing power electronic converters. This project presents a novel control strategy for achieving maximum benefits from these grid-interfacing inverters when installed in 3-phase 4-wire distribution systems. The inverter is controlled to perform as a multi-function device by incorporating active power filter functionality. The inverter can thus be utilized as: 1) power converter to inject power generated from RES to the grid, and 2) shunt APF to compensate current unbalance, load current harmonics, load reactive power demand and load neutral current. All of these functions may be accomplished either individually or simultaneously. With such a control, the combination of grid-interfacing inverter and the 3-phase 4-wire linear/non-linear unbalanced load at point of common coupling appears as balanced linear load to the grid. This new control concept is demonstrated with extensive MATLAB/ Simulink simulation studies and validated through digital signal processor-based laboratory experimental results.
DSTATCOM IS USED IN DISTRIBUTION SYSTEM TO IMPROVE POWER QUALITY LIKE PF CORRECTION,VOLTAGE SAG OR SWELL,HARMONICS ELEMINATION,ETC.VARIOUS CONTROL STRATEGY COMPARISION FOR DSTATCOM.ADVANTAGES AND DISADVANTAGES OF DSTATCOM.APPLICATION OF STASTCOM IN INDIA.
Advance Solar charge controller with lot of benefits. An advantage over common PWM Solar charge controller. Double Boost Technique is used to get a desired output.
This slides are the Ph.D. work presentation on Active Power Filter design and implementation for harmonic elimination in micro-grid and electric vehicle
Real Time Implementation of Variable Step Size Based P&O MPPT for PV Systems ...IJPEDS-IAES
Nowadays Solar energy is an important energy source due to the energy crisis and environment pollution. Maximum power point tracking (MPPT) algorithm improves the utilization efficiency of a photovoltaic systems. In this paper an improved P&O MPPT algorithm is developed and simulated using MATLAB / SIMULINK to control the DC/DC buck converter. The obtained simulink model is also verified using dspace tool. Both the simulated and experimental results are validated by also comparing them with conventional MPPT methods. The performance measures show the increase in the efficiency of PV system by the proposed model.
Modeling and Simulation of Solar Photovoltaic Systemijtsrd
Solar energy is a vital untapped resource in a tropical country like ours. The main hindrance for the penetration and reach of solar PV systems is their low efficiency and high capital cost. The efficiency of solar PV is very low. In order to increase the efficiency, Maximum Power Point Tracking (MPPT) techniques are to be undertaken to match the source and load property. These techniques are employed in PV systems to make full utilization of PV array output power. Recently, many MPPT algorithms of PV system have been proposed which depends on solar irradiation and temperature, but perturb and observe (P&O) and Incremental conductance algorithms are basic and most widely used. This project firstly introduces a Mat lab Simulink of photovoltaic array. To achieve the maximum power point tracking the Incremental Conductance method and perturb and observed (P&O) method are used. These two algorithms are employed with PV model along with converter in Mat lab Simulink. Three different converter boost, buck boost and cuk converter are design according to requirement and used. Few comparisons such as voltage, current and power output for each different combination have been recorded. Irfan Khan | Ameen Uddin Ahmad"Modeling and Simulation of Solar Photovoltaic System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd5743.pdf http://www.ijtsrd.com/engineering/electrical-engineering/5743/modeling-and-simulation-of-solar--photovoltaic-system/irfan-khan
Simulation of incremental conductance mppt with direct control method using c...eSAT Journals
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 MPPT’s. 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)
A Novel Approach on Photovoltaic Technologies for Power Injection in Grid Usi...IJERA Editor
The paper presents the simulation of the Solar Photovoltaic module using Matlab Simulink. This model is based on mathematical equations and is described through an equivalent circuit including a photocurrent source, a diode, a series resistor and a shunt resistor. This paper presents integration of the grid distribution network in Indian scenario with solar power technology to meet the additional electrical energy demand of urban as well as rural sectors which are both rapidly expanding. First of all the data of a real life power plant having 24V, 230W Power PV module has been compared and analyzed with that of matlab program output for identical module and it has been find out that a variation in temperature affects the parameters values as well as the performance of the solar module. After the above analysis the design and Simulink implementation for single phase power grid connected PV system has been done. The system includes the PV array model, the integration of the MPPT with boost dc converter , dc to ac inverter, single phase series load connected to ac grid. It is demonstrated that the model works well at different temperature conditions and predicting the General behavior of single-phase grid- connected PV systems .
Performance Investigation of Grid Connected Photovoltaic System Modelling Bas...IJECEIAES
Photovoltaic (PV) systems are normally modeled by employing accurate equations dealing with a behavior the PV system. This model has Characteristic of PV array cells, which are influenced by both irradiation and temperature variations. Grid-connected PV system is considered as electricity generated solar cell system which is connected to the grid utilities. This paper characterizes an exhibiting and simulating of PV system that executed with MATLAB /Simulink. The impact of solar irradiances as well as ambient temperature performances of PV models is investigated and noted that a lower temperature provides maximum power higher so that the open circuit voltage is larger. Furthermore, if the temperature is low, then a considerably short circuit current is low too.
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.
This paper deals with an advanced design for a pump powered by solar energyto supply agricultural lands with water and also the maximum power point is used to extract the maximum value of the energy available inside the solar panels and comparing between techniques MPPT such as Incremental conductance, perturb & observe, fractional short current circuit, and fractional open voltage circuit to find the best technique among these. The solar system is designed with main parts: photovoltaic (PV) panel, direct current/direct current (DC/DC) converter, inverter, filter, and in addition, the battery is used to save energy in the event that there is an increased demand for energy and not to provide solar radiation, as well as saving energy in the case of generation more than demand. This work was done using the matrix laboratory (MATLAB) simulink program.
Improving efficiency of Photovoltaic System with Neural Network Based MPPT Co...IJMER
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.
The purpose of this article is to extract the maximum power point at which the photovoltaic system can operate optimally. The system considered is simulated under different irradiations (between 200 W/m2 and 1000 W/m2), it mainly includes the established models of solar PV and MPPT module, a DC/DC boost converter and a DC/AC converter. The most common MPPT techniques that will be studied are: "Perturbation and Observation" (P&O) method, "Incremental Conductance" (INC) method, and "Fuzzy Logic" (FL) control. Simulation results obtained using MATLAB/Simulink are analyzed and compared to evaluate the performance of each of the three techniques.
Development of a Novel Robust Differential Maximum Power Point Tracking (MPPT...IJSRP Journal
The use of photovoltaic (PV) systems is increasingly growing in importance since they involve an exploitation of solar radiation constituting an energy source which is renewable, available in most places, and pollution-free. Despite their numerous advantages, PV systems have two major drawbacks: low energy conversion efficiency and loss of energy due to variations in meteorological conditions; for this reason, Maximum Power Point Tracking (MPPT) control techniques play a key role in exploiting the maximum energy caught by PV modules. The output characteristic of a photovoltaic array is nonlinear and changes with solar irradiation and the cell’s temperature. Therefore, a Maximum Power Point Tracking (MPPT) technique is needed to draw peak power from the solar array to maximize the produced energy. In this study we have analyzed the Maximum Power Point Tracking (MPPT) method and finding out a new and easier way to track maximum power point (MPP) and also our study is focused to overcome the drawbacks of MPPT. This research paper presents a novel MPP tracking method for tracking exact Maximum Power Point (MPP) if the irradiation or load changes.
AN ADAPTIVE EXTREMUM SEEKING CONTROL FOR REAL TIME OPTIMIZATION IN PHOTOVOLTA...Editor IJMTER
Extremum seeking control approach is a theory building a feedback system in such a
way that oscillation around the MPPT will boost the PV System efficiency .An alternative ESC
approach is to introduce a small amount of perturbation into the control system. Maximum Power
Point Tracker (MPPT) using extremum seeking control algorithm with emphasis in solar
photovoltaic (PV) system. The ESC is better because of its low cost ,high efficiency and good
power factor . Ripple Correlation Control(RCC) is used in first stage high pass filter along with the
relational operator to develop the system .The reason for choose RCC is due to its high voltage gain
and a low input current ripple which minimizes the oscillation at the module operation point .A
major advantage of ESC is that it is capable of improving the system performance .The variable
phase MPPT power ripple feedback signal developed by sensing and multiplying together PV array
.The entire system is simulated using Matlab simulink environment .The system is expected to be
operated with high efficiency and low cost long life time.
Simulation of various DC-DC converters for photovoltaic systemIJECEIAES
This work explains the comparison of various dc-dc converters for photovoltaic systems. In recent day insufficient energy and continues increasing in fuel cost, exploration on renewable energy system becomes more essential. For high and medium power applications, high input source from renewable systems like photovoltaic and wind energy system turn into difficult one, which leads to increase of cost for installation process. So the generated voltage from PV system is boosted with help various boost converter depends on the applications. Here the various converters are like boost converter, buck converter, buck-boost converter, cuk converter, sepic converter and zeta converter are analysed for photovoltaic system, which are verified using matlab / simulink.
An Experimental Study of P&O MPPT Control for Photovoltaic SystemsIJPEDS-IAES
Tracking the maximum power point plays an important role for the optimization of the solar energy. The objective here is to study experimentally optimizing photovoltaic (PV) systems connected to a DC-DC converter (Boost) and a resistive load. For this, tests were conducted to determine the law of open loop control (power versus the duty cycle) for different solar irradiance values and load with an approximately constant cell temperature. The obtained results showed that the power passes through a maximum point. In order to extract the maximum power, for different values of solar irradiance and load, an MPPT control "Perturb and Observe" P & O has been implemented on a DSPACE 1104. The experimental results showed the performance of the method suggested.
The performance of PV panel is very much dependent on the amount of sun light as well as the temperature of the surrounding environment which normally hard to be predicted. The use of PV emulator in the investigation of solar inverter especially at a lab scale platform helps to mitigate the inconsistency factors due to this uncontrollable variation. This work discussed on the design and development of a PV emulator for the grid-connected quasi-Z-source inverter which has different topology and control method compared to the conventional voltage source inverter. The I-V characteristics of the PV panel is modelled from the commercially available product and through circuit analysis the relation between capacitor voltage control and the PV terminal voltage is established, thus realizing the MPPT operation. Results from both simulation and experimental verification demonstrated that the PV emulator successfully able to produce power for the inverter according to the requirement.
Bibliometric analysis highlighting the role of women in addressing climate ch...IJECEIAES
Fossil fuel consumption increased quickly, contributing to climate change
that is evident in unusual flooding and draughts, and global warming. Over
the past ten years, women's involvement in society has grown dramatically,
and they succeeded in playing a noticeable role in reducing climate change.
A bibliometric analysis of data from the last ten years has been carried out to
examine the role of women in addressing the climate change. The analysis's
findings discussed the relevant to the sustainable development goals (SDGs),
particularly SDG 7 and SDG 13. The results considered contributions made
by women in the various sectors while taking geographic dispersion into
account. The bibliometric analysis delves into topics including women's
leadership in environmental groups, their involvement in policymaking, their
contributions to sustainable development projects, and the influence of
gender diversity on attempts to mitigate climate change. This study's results
highlight how women have influenced policies and actions related to climate
change, point out areas of research deficiency and recommendations on how
to increase role of the women in addressing the climate change and
achieving sustainability. To achieve more successful results, this initiative
aims to highlight the significance of gender equality and encourage
inclusivity in climate change decision-making processes.
Voltage and frequency control of microgrid in presence of micro-turbine inter...IJECEIAES
The active and reactive load changes have a significant impact on voltage
and frequency. In this paper, in order to stabilize the microgrid (MG) against
load variations in islanding mode, the active and reactive power of all
distributed generators (DGs), including energy storage (battery), diesel
generator, and micro-turbine, are controlled. The micro-turbine generator is
connected to MG through a three-phase to three-phase matrix converter, and
the droop control method is applied for controlling the voltage and
frequency of MG. In addition, a method is introduced for voltage and
frequency control of micro-turbines in the transition state from gridconnected mode to islanding mode. A novel switching strategy of the matrix
converter is used for converting the high-frequency output voltage of the
micro-turbine to the grid-side frequency of the utility system. Moreover,
using the switching strategy, the low-order harmonics in the output current
and voltage are not produced, and consequently, the size of the output filter
would be reduced. In fact, the suggested control strategy is load-independent
and has no frequency conversion restrictions. The proposed approach for
voltage and frequency regulation demonstrates exceptional performance and
favorable response across various load alteration scenarios. The suggested
strategy is examined in several scenarios in the MG test systems, and the
simulation results are addressed.
Enhancing battery system identification: nonlinear autoregressive modeling fo...IJECEIAES
Precisely characterizing Li-ion batteries is essential for optimizing their
performance, enhancing safety, and prolonging their lifespan across various
applications, such as electric vehicles and renewable energy systems. This
article introduces an innovative nonlinear methodology for system
identification of a Li-ion battery, employing a nonlinear autoregressive with
exogenous inputs (NARX) model. The proposed approach integrates the
benefits of nonlinear modeling with the adaptability of the NARX structure,
facilitating a more comprehensive representation of the intricate
electrochemical processes within the battery. Experimental data collected
from a Li-ion battery operating under diverse scenarios are employed to
validate the effectiveness of the proposed methodology. The identified
NARX model exhibits superior accuracy in predicting the battery's behavior
compared to traditional linear models. This study underscores the
importance of accounting for nonlinearities in battery modeling, providing
insights into the intricate relationships between state-of-charge, voltage, and
current under dynamic conditions.
Smart grid deployment: from a bibliometric analysis to a surveyIJECEIAES
Smart grids are one of the last decades' innovations in electrical energy.
They bring relevant advantages compared to the traditional grid and
significant interest from the research community. Assessing the field's
evolution is essential to propose guidelines for facing new and future smart
grid challenges. In addition, knowing the main technologies involved in the
deployment of smart grids (SGs) is important to highlight possible
shortcomings that can be mitigated by developing new tools. This paper
contributes to the research trends mentioned above by focusing on two
objectives. First, a bibliometric analysis is presented to give an overview of
the current research level about smart grid deployment. Second, a survey of
the main technological approaches used for smart grid implementation and
their contributions are highlighted. To that effect, we searched the Web of
Science (WoS), and the Scopus databases. We obtained 5,663 documents
from WoS and 7,215 from Scopus on smart grid implementation or
deployment. With the extraction limitation in the Scopus database, 5,872 of
the 7,215 documents were extracted using a multi-step process. These two
datasets have been analyzed using a bibliometric tool called bibliometrix.
The main outputs are presented with some recommendations for future
research.
Use of analytical hierarchy process for selecting and prioritizing islanding ...IJECEIAES
One of the problems that are associated to power systems is islanding
condition, which must be rapidly and properly detected to prevent any
negative consequences on the system's protection, stability, and security.
This paper offers a thorough overview of several islanding detection
strategies, which are divided into two categories: classic approaches,
including local and remote approaches, and modern techniques, including
techniques based on signal processing and computational intelligence.
Additionally, each approach is compared and assessed based on several
factors, including implementation costs, non-detected zones, declining
power quality, and response times using the analytical hierarchy process
(AHP). The multi-criteria decision-making analysis shows that the overall
weight of passive methods (24.7%), active methods (7.8%), hybrid methods
(5.6%), remote methods (14.5%), signal processing-based methods (26.6%),
and computational intelligent-based methods (20.8%) based on the
comparison of all criteria together. Thus, it can be seen from the total weight
that hybrid approaches are the least suitable to be chosen, while signal
processing-based methods are the most appropriate islanding detection
method to be selected and implemented in power system with respect to the
aforementioned factors. Using Expert Choice software, the proposed
hierarchy model is studied and examined.
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...IJECEIAES
The power generated by photovoltaic (PV) systems is influenced by
environmental factors. This variability hampers the control and utilization of
solar cells' peak output. In this study, a single-stage grid-connected PV
system is designed to enhance power quality. Our approach employs fuzzy
logic in the direct power control (DPC) of a three-phase voltage source
inverter (VSI), enabling seamless integration of the PV connected to the
grid. Additionally, a fuzzy logic-based maximum power point tracking
(MPPT) controller is adopted, which outperforms traditional methods like
incremental conductance (INC) in enhancing solar cell efficiency and
minimizing the response time. Moreover, the inverter's real-time active and
reactive power is directly managed to achieve a unity power factor (UPF).
The system's performance is assessed through MATLAB/Simulink
implementation, showing marked improvement over conventional methods,
particularly in steady-state and varying weather conditions. For solar
irradiances of 500 and 1,000 W/m2
, the results show that the proposed
method reduces the total harmonic distortion (THD) of the injected current
to the grid by approximately 46% and 38% compared to conventional
methods, respectively. Furthermore, we compare the simulation results with
IEEE standards to evaluate the system's grid compatibility.
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...IJECEIAES
Photovoltaic systems have emerged as a promising energy resource that
caters to the future needs of society, owing to their renewable, inexhaustible,
and cost-free nature. The power output of these systems relies on solar cell
radiation and temperature. In order to mitigate the dependence on
atmospheric conditions and enhance power tracking, a conventional
approach has been improved by integrating various methods. To optimize
the generation of electricity from solar systems, the maximum power point
tracking (MPPT) technique is employed. To overcome limitations such as
steady-state voltage oscillations and improve transient response, two
traditional MPPT methods, namely fuzzy logic controller (FLC) and perturb
and observe (P&O), have been modified. This research paper aims to
simulate and validate the step size of the proposed modified P&O and FLC
techniques within the MPPT algorithm using MATLAB/Simulink for
efficient power tracking in photovoltaic systems.
Adaptive synchronous sliding control for a robot manipulator based on neural ...IJECEIAES
Robot manipulators have become important equipment in production lines, medical fields, and transportation. Improving the quality of trajectory tracking for
robot hands is always an attractive topic in the research community. This is a
challenging problem because robot manipulators are complex nonlinear systems
and are often subject to fluctuations in loads and external disturbances. This
article proposes an adaptive synchronous sliding control scheme to improve trajectory tracking performance for a robot manipulator. The proposed controller
ensures that the positions of the joints track the desired trajectory, synchronize
the errors, and significantly reduces chattering. First, the synchronous tracking
errors and synchronous sliding surfaces are presented. Second, the synchronous
tracking error dynamics are determined. Third, a robust adaptive control law is
designed,the unknown components of the model are estimated online by the neural network, and the parameters of the switching elements are selected by fuzzy
logic. The built algorithm ensures that the tracking and approximation errors
are ultimately uniformly bounded (UUB). Finally, the effectiveness of the constructed algorithm is demonstrated through simulation and experimental results.
Simulation and experimental results show that the proposed controller is effective with small synchronous tracking errors, and the chattering phenomenon is
significantly reduced.
Remote field-programmable gate array laboratory for signal acquisition and de...IJECEIAES
A remote laboratory utilizing field-programmable gate array (FPGA) technologies enhances students’ learning experience anywhere and anytime in embedded system design. Existing remote laboratories prioritize hardware access and visual feedback for observing board behavior after programming, neglecting comprehensive debugging tools to resolve errors that require internal signal acquisition. This paper proposes a novel remote embeddedsystem design approach targeting FPGA technologies that are fully interactive via a web-based platform. Our solution provides FPGA board access and debugging capabilities beyond the visual feedback provided by existing remote laboratories. We implemented a lab module that allows users to seamlessly incorporate into their FPGA design. The module minimizes hardware resource utilization while enabling the acquisition of a large number of data samples from the signal during the experiments by adaptively compressing the signal prior to data transmission. The results demonstrate an average compression ratio of 2.90 across three benchmark signals, indicating efficient signal acquisition and effective debugging and analysis. This method allows users to acquire more data samples than conventional methods. The proposed lab allows students to remotely test and debug their designs, bridging the gap between theory and practice in embedded system design.
Detecting and resolving feature envy through automated machine learning and m...IJECEIAES
Efficiently identifying and resolving code smells enhances software project quality. This paper presents a novel solution, utilizing automated machine learning (AutoML) techniques, to detect code smells and apply move method refactoring. By evaluating code metrics before and after refactoring, we assessed its impact on coupling, complexity, and cohesion. Key contributions of this research include a unique dataset for code smell classification and the development of models using AutoGluon for optimal performance. Furthermore, the study identifies the top 20 influential features in classifying feature envy, a well-known code smell, stemming from excessive reliance on external classes. We also explored how move method refactoring addresses feature envy, revealing reduced coupling and complexity, and improved cohesion, ultimately enhancing code quality. In summary, this research offers an empirical, data-driven approach, integrating AutoML and move method refactoring to optimize software project quality. Insights gained shed light on the benefits of refactoring on code quality and the significance of specific features in detecting feature envy. Future research can expand to explore additional refactoring techniques and a broader range of code metrics, advancing software engineering practices and standards.
Smart monitoring technique for solar cell systems using internet of things ba...IJECEIAES
Rapidly and remotely monitoring and receiving the solar cell systems status parameters, solar irradiance, temperature, and humidity, are critical issues in enhancement their efficiency. Hence, in the present article an improved smart prototype of internet of things (IoT) technique based on embedded system through NodeMCU ESP8266 (ESP-12E) was carried out experimentally. Three different regions at Egypt; Luxor, Cairo, and El-Beheira cities were chosen to study their solar irradiance profile, temperature, and humidity by the proposed IoT system. The monitoring data of solar irradiance, temperature, and humidity were live visualized directly by Ubidots through hypertext transfer protocol (HTTP) protocol. The measured solar power radiation in Luxor, Cairo, and El-Beheira ranged between 216-1000, 245-958, and 187-692 W/m 2 respectively during the solar day. The accuracy and rapidity of obtaining monitoring results using the proposed IoT system made it a strong candidate for application in monitoring solar cell systems. On the other hand, the obtained solar power radiation results of the three considered regions strongly candidate Luxor and Cairo as suitable places to build up a solar cells system station rather than El-Beheira.
An efficient security framework for intrusion detection and prevention in int...IJECEIAES
Over the past few years, the internet of things (IoT) has advanced to connect billions of smart devices to improve quality of life. However, anomalies or malicious intrusions pose several security loopholes, leading to performance degradation and threat to data security in IoT operations. Thereby, IoT security systems must keep an eye on and restrict unwanted events from occurring in the IoT network. Recently, various technical solutions based on machine learning (ML) models have been derived towards identifying and restricting unwanted events in IoT. However, most ML-based approaches are prone to miss-classification due to inappropriate feature selection. Additionally, most ML approaches applied to intrusion detection and prevention consider supervised learning, which requires a large amount of labeled data to be trained. Consequently, such complex datasets are impossible to source in a large network like IoT. To address this problem, this proposed study introduces an efficient learning mechanism to strengthen the IoT security aspects. The proposed algorithm incorporates supervised and unsupervised approaches to improve the learning models for intrusion detection and mitigation. Compared with the related works, the experimental outcome shows that the model performs well in a benchmark dataset. It accomplishes an improved detection accuracy of approximately 99.21%.
Developing a smart system for infant incubators using the internet of things ...IJECEIAES
This research is developing an incubator system that integrates the internet of things and artificial intelligence to improve care for premature babies. The system workflow starts with sensors that collect data from the incubator. Then, the data is sent in real-time to the internet of things (IoT) broker eclipse mosquito using the message queue telemetry transport (MQTT) protocol version 5.0. After that, the data is stored in a database for analysis using the long short-term memory network (LSTM) method and displayed in a web application using an application programming interface (API) service. Furthermore, the experimental results produce as many as 2,880 rows of data stored in the database. The correlation coefficient between the target attribute and other attributes ranges from 0.23 to 0.48. Next, several experiments were conducted to evaluate the model-predicted value on the test data. The best results are obtained using a two-layer LSTM configuration model, each with 60 neurons and a lookback setting 6. This model produces an R 2 value of 0.934, with a root mean square error (RMSE) value of 0.015 and a mean absolute error (MAE) of 0.008. In addition, the R 2 value was also evaluated for each attribute used as input, with a result of values between 0.590 and 0.845.
A review on internet of things-based stingless bee's honey production with im...IJECEIAES
Honey is produced exclusively by honeybees and stingless bees which both are well adapted to tropical and subtropical regions such as Malaysia. Stingless bees are known for producing small amounts of honey and are known for having a unique flavor profile. Problem identified that many stingless bees collapsed due to weather, temperature and environment. It is critical to understand the relationship between the production of stingless bee honey and environmental conditions to improve honey production. Thus, this paper presents a review on stingless bee's honey production and prediction modeling. About 54 previous research has been analyzed and compared in identifying the research gaps. A framework on modeling the prediction of stingless bee honey is derived. The result presents the comparison and analysis on the internet of things (IoT) monitoring systems, honey production estimation, convolution neural networks (CNNs), and automatic identification methods on bee species. It is identified based on image detection method the top best three efficiency presents CNN is at 98.67%, densely connected convolutional networks with YOLO v3 is 97.7%, and DenseNet201 convolutional networks 99.81%. This study is significant to assist the researcher in developing a model for predicting stingless honey produced by bee's output, which is important for a stable economy and food security.
A trust based secure access control using authentication mechanism for intero...IJECEIAES
The internet of things (IoT) is a revolutionary innovation in many aspects of our society including interactions, financial activity, and global security such as the military and battlefield internet. Due to the limited energy and processing capacity of network devices, security, energy consumption, compatibility, and device heterogeneity are the long-term IoT problems. As a result, energy and security are critical for data transmission across edge and IoT networks. Existing IoT interoperability techniques need more computation time, have unreliable authentication mechanisms that break easily, lose data easily, and have low confidentiality. In this paper, a key agreement protocol-based authentication mechanism for IoT devices is offered as a solution to this issue. This system makes use of information exchange, which must be secured to prevent access by unauthorized users. Using a compact contiki/cooja simulator, the performance and design of the suggested framework are validated. The simulation findings are evaluated based on detection of malicious nodes after 60 minutes of simulation. The suggested trust method, which is based on privacy access control, reduced packet loss ratio to 0.32%, consumed 0.39% power, and had the greatest average residual energy of 0.99 mJoules at 10 nodes.
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbersIJECEIAES
In real world applications, data are subject to ambiguity due to several factors; fuzzy sets and fuzzy numbers propose a great tool to model such ambiguity. In case of hesitation, the complement of a membership value in fuzzy numbers can be different from the non-membership value, in which case we can model using intuitionistic fuzzy numbers as they provide flexibility by defining both a membership and a non-membership functions. In this article, we consider the intuitionistic fuzzy linear programming problem with intuitionistic polygonal fuzzy numbers, which is a generalization of the previous polygonal fuzzy numbers found in the literature. We present a modification of the simplex method that can be used to solve any general intuitionistic fuzzy linear programming problem after approximating the problem by an intuitionistic polygonal fuzzy number with n edges. This method is given in a simple tableau formulation, and then applied on numerical examples for clarity.
The performance of artificial intelligence in prostate magnetic resonance im...IJECEIAES
Prostate cancer is the predominant form of cancer observed in men worldwide. The application of magnetic resonance imaging (MRI) as a guidance tool for conducting biopsies has been established as a reliable and well-established approach in the diagnosis of prostate cancer. The diagnostic performance of MRI-guided prostate cancer diagnosis exhibits significant heterogeneity due to the intricate and multi-step nature of the diagnostic pathway. The development of artificial intelligence (AI) models, specifically through the utilization of machine learning techniques such as deep learning, is assuming an increasingly significant role in the field of radiology. In the realm of prostate MRI, a considerable body of literature has been dedicated to the development of various AI algorithms. These algorithms have been specifically designed for tasks such as prostate segmentation, lesion identification, and classification. The overarching objective of these endeavors is to enhance diagnostic performance and foster greater agreement among different observers within MRI scans for the prostate. This review article aims to provide a concise overview of the application of AI in the field of radiology, with a specific focus on its utilization in prostate MRI.
Seizure stage detection of epileptic seizure using convolutional neural networksIJECEIAES
According to the World Health Organization (WHO), seventy million individuals worldwide suffer from epilepsy, a neurological disorder. While electroencephalography (EEG) is crucial for diagnosing epilepsy and monitoring the brain activity of epilepsy patients, it requires a specialist to examine all EEG recordings to find epileptic behavior. This procedure needs an experienced doctor, and a precise epilepsy diagnosis is crucial for appropriate treatment. To identify epileptic seizures, this study employed a convolutional neural network (CNN) based on raw scalp EEG signals to discriminate between preictal, ictal, postictal, and interictal segments. The possibility of these characteristics is explored by examining how well timedomain signals work in the detection of epileptic signals using intracranial Freiburg Hospital (FH), scalp Children's Hospital Boston-Massachusetts Institute of Technology (CHB-MIT) databases, and Temple University Hospital (TUH) EEG. To test the viability of this approach, two types of experiments were carried out. Firstly, binary class classification (preictal, ictal, postictal each versus interictal) and four-class classification (interictal versus preictal versus ictal versus postictal). The average accuracy for stage detection using CHB-MIT database was 84.4%, while the Freiburg database's time-domain signals had an accuracy of 79.7% and the highest accuracy of 94.02% for classification in the TUH EEG database when comparing interictal stage to preictal stage.
Analysis of driving style using self-organizing maps to analyze driver behaviorIJECEIAES
Modern life is strongly associated with the use of cars, but the increase in acceleration speeds and their maneuverability leads to a dangerous driving style for some drivers. In these conditions, the development of a method that allows you to track the behavior of the driver is relevant. The article provides an overview of existing methods and models for assessing the functioning of motor vehicles and driver behavior. Based on this, a combined algorithm for recognizing driving style is proposed. To do this, a set of input data was formed, including 20 descriptive features: About the environment, the driver's behavior and the characteristics of the functioning of the car, collected using OBD II. The generated data set is sent to the Kohonen network, where clustering is performed according to driving style and degree of danger. Getting the driving characteristics into a particular cluster allows you to switch to the private indicators of an individual driver and considering individual driving characteristics. The application of the method allows you to identify potentially dangerous driving styles that can prevent accidents.
Hyperspectral object classification using hybrid spectral-spatial fusion and ...IJECEIAES
Because of its spectral-spatial and temporal resolution of greater areas, hyperspectral imaging (HSI) has found widespread application in the field of object classification. The HSI is typically used to accurately determine an object's physical characteristics as well as to locate related objects with appropriate spectral fingerprints. As a result, the HSI has been extensively applied to object identification in several fields, including surveillance, agricultural monitoring, environmental research, and precision agriculture. However, because of their enormous size, objects require a lot of time to classify; for this reason, both spectral and spatial feature fusion have been completed. The existing classification strategy leads to increased misclassification, and the feature fusion method is unable to preserve semantic object inherent features; This study addresses the research difficulties by introducing a hybrid spectral-spatial fusion (HSSF) technique to minimize feature size while maintaining object intrinsic qualities; Lastly, a soft-margins kernel is proposed for multi-layer deep support vector machine (MLDSVM) to reduce misclassification. The standard Indian pines dataset is used for the experiment, and the outcome demonstrates that the HSSF-MLDSVM model performs substantially better in terms of accuracy and Kappa coefficient.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
COLLEGE BUS MANAGEMENT SYSTEM PROJECT REPORT.pdfKamal Acharya
The College Bus Management system is completely developed by Visual Basic .NET Version. The application is connect with most secured database language MS SQL Server. The application is develop by using best combination of front-end and back-end languages. The application is totally design like flat user interface. This flat user interface is more attractive user interface in 2017. The application is gives more important to the system functionality. The application is to manage the student’s details, driver’s details, bus details, bus route details, bus fees details and more. The application has only one unit for admin. The admin can manage the entire application. The admin can login into the application by using username and password of the admin. The application is develop for big and small colleges. It is more user friendly for non-computer person. Even they can easily learn how to manage the application within hours. The application is more secure by the admin. The system will give an effective output for the VB.Net and SQL Server given as input to the system. The compiled java program given as input to the system, after scanning the program will generate different reports. The application generates the report for users. The admin can view and download the report of the data. The application deliver the excel format reports. Because, excel formatted reports is very easy to understand the income and expense of the college bus. This application is mainly develop for windows operating system users. In 2017, 73% of people enterprises are using windows operating system. So the application will easily install for all the windows operating system users. The application-developed size is very low. The application consumes very low space in disk. Therefore, the user can allocate very minimum local disk space for this application.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
2. ISSN: 2088-8708
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output power. In other words, each PV cell produces energy pertaining to its operational and environmental
conditions [7].
In addressing the poor efficiency of PV systems, some methods were proposed, among which is a
new concept called “maximum power point tracking” (MPPT). All MPPT methods follow the same goal
which is maximizing the PV array output power by tracking the maximum power on every operating
condition.
2. SOLAR PHOTOVOLTAIC MODEL
The mathematical model of the PV cell can be developed by using equivalent circuit model of PV
Cell. An ideal solar cell may be modeled by a current source connected in parallel with a diode; the current
source represents the generated photocurrent when the sunlight hits on the surface of the solar panel, and the
diode represents the p-n transition area of the solar cell [8]. This PV cell model represents the electrical
behavior of the pn-junction [9]-[11]. Figure 1 shows the single diode equivalent circuit model of Solar cell.
Figure 1. Solar Cell Equivalent Circuit Model
From the single diode equivalent circuit in Figure 1, the equation for the output current is given by:
pv ph D shI I I I (1)
The current through the diode follow the Shockley diode equation:
D OI 1I
DqV
nkT
e
(2)
sh
sh
sh
I
R
=
V
(3)
D pv pv s+V V I R (4)
where, Ipv is the PV output current, Iph is the photocurrent, ID is the diode current, Ish is the shunt current, IO is
the reverse saturation current, n is diode ideality factor, q is the electron charge, k is the Boltzmann constant,
T is the absolute temperature, VD is the voltage across diode and resistor Rsh, Vpv is the output terminal
voltage, and RS is the series resistance of the PV cells.
By substituting Equations (2), (3) and (4) into the first equation, the characteristic equation of a PV
cell, which relates solar cell parameters to the output current and voltage, is given by the following
expression[1], [2]:
pv pv s( + )V I R
pv pv s
pv ph O
sh
V I R
I I
R
+
I 1
q
nkT
e
(5)
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1317
The nonlinear equation of PV characteristic actualy depends on the solar irradiance and the cell
temperature. As the references, the PV module manufacturers normally provided specified data at Standard
Test Conditions where the irradiance is 1000W/m2
and the cell temperature is 25O
C.
In this paper, the ICA100 PV module was chosen for simulation setup. The electrical parameters are
tabulated in Table 1, and the characteristic curves are shown in Figure 2 and Figure 3. Figure 2 illustrates the
P-V characteristic of the ICA100 module under different irradiance and Figure 3 illustrates the P-V
characteristic under different temperature conditions.
Figure 2. P-V characteristics at irradiance variation Figure 3. P-V characteristics at temperature variation
Figure 4. Current – vs – Voltage curve of PV module
Figure 4 shows the current-vs-voltage curve of the PV module. It gives an idea about the significant
points on each I–V curve: open-circuit voltage, short-circuit current, and the operating point where the
module performs the maximum power (MPP). This point is related to a voltage and a current that are Vmpp
and Impp, respectively, and is highly dependent on solar irradiation and ambient temperature.
Table 1. Specification of ICA100 PV Module
Parameters Symbol Value
Maximum power Pmax 100 W
Voltage at max power Vmp 17.6 V
Current at max power Imp 5.69 A
Open circuit voltage Voc 22.4 V
Short circuit current Isc 6.03 A
Number of Series Cells Ns 36
Number of Parallel Cells Np 1
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3. MAXIMUM POWER POINT TRACKING (MPPT)
The Maximum Power Point Tracking (MPPT) is an algorithm that included in charge controllers
used for extracting maximum available power from PV module under certain conditions. The MPPT
algorithm moves the electrical operating point of the PV modules to its Maximum Power Point, so that the
modules are able to deliver maximum available power.
The voltage at which PV module can produce maximum power point is called maximum power
voltage (or peak power voltage). The Maximum Power Point of PV module varies with solar radiation,
ambient temperature and solar cell temperature. From Power – vs – Voltage curve in Figure 5, the
ICA100 PV module produces power with maximum power voltage of around 17.6V when measured at a cell
temperature of 25°C, it can drop to around 16V on a very hot day and it can also rise to 19V on a very cold
day.
Figure 5. Power – vs – Voltage curve of PV module
When a load is directly connected to the PV panel, the PV panel operating point is usually not at
peak power. In Figure 5, it is clear when a 12V dc load is directly connected to the PV panel, the PV output
power is only 72W, which is less then the maximum available power of PV module.
The impedance seen by the PV panel derives the electrical operating point of the solar PV panel. By
varying the impedance seen by the PV panel, the electrical operating point can be moved towards peak power
point. Since solar PV panels are DC devices, DC-DC converters might be used to transform the impedance of
solar panel circuit to the load circuit. Changing the duty ratio of the DC-DC converter results in the
impedance seen by the panel being changed. In order to maximize the extraction power of solar photovoltaic
systems, the DC-DC converter must be able to track a particular duty ratio that make the operating point will
be at the maximum power point (MPP).
There are a large number of algorithms that are able to track the MPPs. Some of them are simple,
such as voltage and current feedback control base, while some are more complicated, such as hill cimbing
method, Perturbation and Observation (P&O) method and Incremental Conductance method. They vary in
complexity, sensor requirement, speed of convergence, cost, range of operation, popularity, ability to detect
multiple local maxima, and their applications [12]-[14].
Figure 6. Basic idea of the MPPT method
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Most of MPPT method focuses directly on power variations and the slope of the P–V characteristic
curve. In Figure 6, we can see that the MPP is located at the peak of the Power – vs – Voltage curve of PV
module. Here the value of PV power is maximum. Figure 6 shows that the slope of the PV array power
curve, dP/dV, is zero at the MPP, positive on the left of the MPP and negative on the right-hand side of the
MPP. The basic equations of this method are as follows :
=0
dP
dV
, at MPP (6)
>0
dP
dV
, left of MPP (7)
<0
dP
dV
, right of MPP (8)
where P and V are the PV array output power and voltage, respectively.
4. MPPT FUZZY LOGIC CONTROLLER
Fuzzy Logic has been used for tracking the Maximum Power Point (MPP) of PV module because it
has the advantages of being robust, relatively simple to design and does not require the knowledge of PV
exact model. Fuzzy logic control generally consists of three basic componens: fuzzification module, fuzzy
inference engine, and defuzzification module, as shown in Figure 7.
Figure 7. Structure of fuzzy logic controller
4.1. Fuzzification
During fuzzification, numerical input variables are converted into linguistic variable based on a
membership function. For this MPPT, the actual voltage and current of PV module measured continuously
and the power can be calculated as P=VxI. The control is determined based on satisfaction of two proposed
input control variable, namely the error E (which represents the slope of P-V characteristic) and change of
error CE at the instant sampling k. The variable E and CE are exprexed as follows:
( ) ( 1)
( )
( ) ( 1)
P k P k
E k
V k V k
(9)
( ) ( ) ( 1)CE k E k E k (10)
where P(k) is the power and V(k) is voltage of PV module. The change in duty ratio (D) of the
DC-DC Converter is used as the output of the controller. Therefore, the control is done by changing this duty
ratio according to the slope E(k) in order to track the operation point to the optimal point where the slope is
zero.
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As shown in Figure 8, the input variables of the fuzzy controller (E, CE) are converted to the
liguistic variables such as PB (positive big), PS (positive small), ZO (zero), NS (negative small), and NB
(negative big) using basic fuzzy subset. Figure 8 shows the membership grades of five basic fuzzy subsets for
input and output variables.
(a) (b)
(c)
Figure 8. Membership function for (a) Input E, (b) Input CE, (c) Output D
4.2. Inference engine
The inference engine applies a rule to the fuzzy input to determine the fuzzy output. Therefore,
before the rule can be evaluated, the real input value must be fuzzified to obtain an appropriate linguistic
value. Table 2 shows the fuzzy controller rule table, where all the matrix entries are fuzzy sets of the error
(E), the change of error (CE) and the change of duty ratio (D) to converter.
The rule table in Table 2 containt 25 rules of fuzzy controller. These rules are employed to control
the DC-DC converter so that the MPP of the PV module is reached. The main idea of the rules are to bring
the operation point of PV module to the MPP by increasing or decreasing the duty ratio of DC-DC Converter
depending on the position of the operation point from the MPP.
4.3. Defuzzification
Since the DC-DC converter require a precise control signal D at its entry, it is necessary to tranform
the output of fuzzy controller from fuzzy information into deterministic information. This tranformation is
called defuzzification. In the defuzzification stage, the fuzzy logic controller output is converted from a
linguistic variable to a numerical variable.
Defuzzification can be performed normally by two algorithms; Center of Area (COA) and the Max
Criterion Method (MCM). The most widely used defuzzification method is the determination of the center of
gravity (COA) of the final combined fuzzy set.
The final combined fuzzy set is defined by the unification of all outputs of the fuzzy rule set, using
the maximum aggregation method. The center of gravity (D) is computed by,
1
1
( )
( )
n
j jj
n
jj
D D
D
D
(11)
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Modeling and Simulation of Fuzzy Logic based Maximum Power Point ... (Ahmad Saudi Samosir)
1321
and the actual duty ratio D is calculated by:
( ) ( 1) ( )DD k D k S D k (12)
5. RESULT AND ANALYSIS
In order to evaluate the performance of the proposed Fuzzy Logic based MPPT controller, a
simulation analysis was conducted. The simulation model was developed using MATLAB Simulink. The
simulink model of PV system is shown as Figure 9. The PV module considered in the simulation is the
ICA100.
Figure 9 shows the developed PV model system consisting of PV Solar Panel, Power Circuit and
MPPT controller block diagram which is implemented using Fuzzy logic controller. The Fuzzy MPPT
algorithm is presented in Figure 10. Figure 11 shows the simulation result of the Fuzzy MPPT algorithm
response.
Figure 9. Simulink model of PV system
Figure 10. Block diagram of fuzzy MPPT algorithm
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Int J Elec & Comp Eng, Vol. 8, No. 3, June 2018 : 1315 – 1323
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Figure 11. fuzzy MPPT algorithm response
6. CONCLUSION
A modeling and simulation of fuzzy logic based Maximum Power Point Tracking for PV application is
presented. The performance of the fuzzy logic MPPT algorithm system has been investigated. The simulation
results show that the proposed fuzzy logic algorithm has a good and effective performance to generate
maximum power from solar panels.
ACKNOWLEDGEMENTS
The authors would like to thanks the Directorate General of Higher Education Indonesia (DIKTI)
for the financial support, and Lampung University for providing the facilities to conduct the research.
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BIOGRAPHIES OF AUTHORS
Ahmad Saudi Samosir was born in Belawan, Indonesia in 1971. He obtained his Bachelor degree
in electrical engineering from University of North Sumatera, Indonesia, in 1995, Master degree in
electrical power engineering from Bandung Institute of Technology, Indonesia, in 1999, and PhD
degree from Universiti Teknologi Malaysia, Malaysia, in 2010. His areas of interest research include
renewable energy, control technique and application of power electronic converters. Currently he is
working as a professor in the department of Electrical Engineering, University of Lampung, Bandar
Lampung, Indonesia.
Herri Gusmedi was born in Palembang, Indonesia in 1971. He received his Bachelor degree in
electrical engineering from Sriwijaya University, Indonesia, in 1995, and Master degree in electrical
power engineering from Bandung Institute of Technology, Indonesia, in 2001. His research area
includes power system, load analysis, system monitoring and renewable energy. Currently He is
working as a lecturer in the department of Electrical Engineering, University of Lampung, Bandar
Lampung, Indonesia.
Sri Purwiyanti was born in Jakarta, Indonesia in 1973. She received bachelor degree in electrical
engineering from Universitas Mercubuana, Indonesia, in 1996, Master degree in electrical
engineering from Universitas Gajah Mada, Indonesia, in 2000, and PhD degree from Universitas
Indonesia and Shizuoka University, Japan, in 2015. Her research interest includes electronic system,
nanowire silicon semiconductor, application of artificial intelligent in power system as well as
renewable energy in distributed generation. Currently She is working as a lecturer in the department
of Electrical Engineering, University of Lampung, Bandar Lampung, Indonesia.
Endah Komalasari was born in Ujung Pandang, Indonesia in 1973. She received bachelor degree in
electrical engineering from Sriwijaya University, Indonesia, in 1997, Master degree in electrical
power engineering from Bandung Institute of Technology, Indonesia, in 2002, and PhD degree from
Kyushu University, Japan, in 2012. Her research interest includes system monitoring, power
electronic system, and renewable energy. Currently She is working as a lecturer in the department of
Electrical Engineering, University of Lampung, Bandar Lampung, Indonesia.