Solar PV power generation has achieved rapid growth in developing countries which has many merits such as absence of noise, longer life, no pollution, less time for installation, and ease of grid interface. A maximum power point tracking circuit (MPPT) consists of DC-DC power electronics converters that are used to improve the energy attainment from solar PV array. This paper presents a detailed analysis to control of chaos, a non-linear dynamic in SEPIC DC-DC converter interfaced solar PV system, to minimize the oscillations near to MPP. In SEPIC DC-DC converter, the input inductor current is continuous and capable of sweeping the whole I-V curve of a PV module from open circuit voltage (V oc ) to short circuit current (I sc ) operating points. To trace the true maximum power point and to nullify the oscillations near to MPP, the yield output voltage needs to ensure period-1 operation.
The power generation using solar photovoltaic (PV) system in microgrid requires energy storage system due to their dilute and intermittent nature. The system requires efficient control techniques to ensure the reliable operation of the microgrid. This work presents dynamic power management using a decentralized approach. The control techniques in microgrid including droop controllers in cascade with proportional-integral (PI) controllers for voltage stability and power balance have few limitations. PI controllers alone will not ensure microgrid’s stability. Their parameters cannot be optimized for varying demand and have a slow transient response which increases the settling time. The droop controllers have lower efficiency. The load power variation and steady-state voltage error make the droop control ineffective. This paper presents a control scheme for dynamic power management by incorporating the combined PI and hysteresis controller (CPIHC) technique. The system becomes robust, performs well under varying demand conditions, and shows a faster dynamic response. The proposed DC microgrid has solar PV as an energy source, a lead-acid battery as the energy storage system, constant and dynamic loads. The simulation results show the proposed CPIHC technique efficiently manages the dynamic power, regulates DC link voltage and battery’s state of charge (SoC) compared to conventional combined PI and droop controller (CPIDC).
Modelling of fuzzy logic controller for variable step mppt in photovoltaic sy...eSAT Journals
Abstract
The output power of photovoltaic electrical systems is highly dynamic and non-linear in nature. In order to extract maximum power
from such systems, maximum power point tracking (MPPT) technique is required. MPPT techniques with variable step-size of
perturbation track the maximum power point (MPP) with more efficiency. In this paper, a model of a fuzzy logic controller (FLC) for
determining the step-size of perturbation in duty-cycle of a photovoltaic electrical system to track MPP is presented. The model is
simulated in MATLAB/Simulink®.
Keywords: Maximum power point tracking, perturb and observe, boost converter, fuzzy logic control, membership
function, crisp universe, centre of area, pulse width modulation
Design and Development of Power Electronic Controller for Grid-connected PV A...IJAPEJOURNAL
Design and simulation of a simple power electronic interface for grid-connected PV array has been proposed using boost converter and line-commutated inverter with maximum power point tracking (MPPT) controller. The output of PV array varies with irradiation, and hence the duty cycle of the PI controller is adjusted automatically to supply a constant DC voltage to the inverter circuit, the output of which is directly connected to the grid. The MPPT controller extracts maximum power from the solar array and feeds it to the single-phase utility grid. The proposed scheme has been modeled in the MATLAB 7.1 software and the complete system has been simulated for open loop and closed loop configurations. The active power fed to the grid is taken for different firing angles in open loop mode and the firing angle for maximum power has been determined. This is compared with the firing angle obtained from the closed loop mode and found that both results agree with each other.
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 explained details of Comparison of solar based closed loop DC -DC converter using PID and ANN Control for Shunt motor drive. Solar panel output is given to full bridge converter, stepup transformer, full wave converter, ∏ filter and Shunt motor drive are connected.Comparator compare the set value and the output signal of the motor produce a signal, based on the signal, full wave conveter produce the voltage to run the motor, Speed of motor,Torque and Armature current,Rise time,Peak time, Settling time and Steady state error are measured and evaluated by experimental.A circuit operation and simulation designed for a 1000 RPM speed of shunt motor arrived and tested.
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.
The power generation using solar photovoltaic (PV) system in microgrid requires energy storage system due to their dilute and intermittent nature. The system requires efficient control techniques to ensure the reliable operation of the microgrid. This work presents dynamic power management using a decentralized approach. The control techniques in microgrid including droop controllers in cascade with proportional-integral (PI) controllers for voltage stability and power balance have few limitations. PI controllers alone will not ensure microgrid’s stability. Their parameters cannot be optimized for varying demand and have a slow transient response which increases the settling time. The droop controllers have lower efficiency. The load power variation and steady-state voltage error make the droop control ineffective. This paper presents a control scheme for dynamic power management by incorporating the combined PI and hysteresis controller (CPIHC) technique. The system becomes robust, performs well under varying demand conditions, and shows a faster dynamic response. The proposed DC microgrid has solar PV as an energy source, a lead-acid battery as the energy storage system, constant and dynamic loads. The simulation results show the proposed CPIHC technique efficiently manages the dynamic power, regulates DC link voltage and battery’s state of charge (SoC) compared to conventional combined PI and droop controller (CPIDC).
Modelling of fuzzy logic controller for variable step mppt in photovoltaic sy...eSAT Journals
Abstract
The output power of photovoltaic electrical systems is highly dynamic and non-linear in nature. In order to extract maximum power
from such systems, maximum power point tracking (MPPT) technique is required. MPPT techniques with variable step-size of
perturbation track the maximum power point (MPP) with more efficiency. In this paper, a model of a fuzzy logic controller (FLC) for
determining the step-size of perturbation in duty-cycle of a photovoltaic electrical system to track MPP is presented. The model is
simulated in MATLAB/Simulink®.
Keywords: Maximum power point tracking, perturb and observe, boost converter, fuzzy logic control, membership
function, crisp universe, centre of area, pulse width modulation
Design and Development of Power Electronic Controller for Grid-connected PV A...IJAPEJOURNAL
Design and simulation of a simple power electronic interface for grid-connected PV array has been proposed using boost converter and line-commutated inverter with maximum power point tracking (MPPT) controller. The output of PV array varies with irradiation, and hence the duty cycle of the PI controller is adjusted automatically to supply a constant DC voltage to the inverter circuit, the output of which is directly connected to the grid. The MPPT controller extracts maximum power from the solar array and feeds it to the single-phase utility grid. The proposed scheme has been modeled in the MATLAB 7.1 software and the complete system has been simulated for open loop and closed loop configurations. The active power fed to the grid is taken for different firing angles in open loop mode and the firing angle for maximum power has been determined. This is compared with the firing angle obtained from the closed loop mode and found that both results agree with each other.
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 explained details of Comparison of solar based closed loop DC -DC converter using PID and ANN Control for Shunt motor drive. Solar panel output is given to full bridge converter, stepup transformer, full wave converter, ∏ filter and Shunt motor drive are connected.Comparator compare the set value and the output signal of the motor produce a signal, based on the signal, full wave conveter produce the voltage to run the motor, Speed of motor,Torque and Armature current,Rise time,Peak time, Settling time and Steady state error are measured and evaluated by experimental.A circuit operation and simulation designed for a 1000 RPM speed of shunt motor arrived and tested.
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.
Harvesting energy from the sun makes the photovoltaic (PV) power generation a promising technology. To obtain a consistent state of charge (SOC), consistent energy must be harvested and efficiently directed to the battery. Overcharging or undercharging phenomena decreases the lifetime of the battery. Besides, the effect of irradiance toward solar in term of sunlight intensity effects the efficiency and hence, sluggish the SOC. The main problem of the solar panel revealed when the temperature has increased, the efficiency of solar panel will also be decreased. This manuscript reports the finding of developing an automatic active cooling system for a solar panel with a real time energy monitoring system with internet-of-things (IoT) facility. The IoT technology assists user to measure the efficiency of the solar panel and SOC of the battery in real time from any locations. The automatic active cooling system is designed to improve the efficiency of the solar panel. The effectiveness of the proposed system is proven via the analysis of the effect of active cooling toward efficiency and SOC of photovoltaic system. The results also tabulate the comparative studies of active-to-passive cooling system, as well as the effect of cooling towards SOC and efficiency of the solar panel.
This paper presents the design and the implementation of a new microcontroller-based solar
Power inverter. The aim of this paper is to design single phase inverter which can convert DC voltage
to AC voltage at high efficiency and low cost. Solar and wind powered electricity generation are
being favored nowadays as the world increasingly focuses on environmental concerns. Power
inverters, which convert solar-cell DC into domestic-use AC, are one of the key technologies for
delivering efficient AC power The hardware and software design are oriented towards a single-chip
microcontroller-based system, hence minimizing the size and cost. With this new approach the
modularization of the conversion from solar power to electric power at its maximum power point can
be made more compact and more reliable.
The International Journal of Engineering and Science (IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Drive Applications of Fuzzy Logic Controlled Interleaved Boost Converter for ...EECJOURNAL
The improvement in the efficiency, a reduced ripple and reduction in the passive elements is proposed in this project through the interleaved boost converter. The interleaved boost converter operates multiple phase approach, is used for the power factor control applications. The proposed converter is used to extract the power output from the solar panel with reduced ripple losses and greater efficiency thereby obtaining the maximum power from the solar panel. The control of the current with energy saving method is obtained with the efficiency of 95%. The converter operation is controlled by the fuzzy logic controller to operate the switches with the finest and reduced power loss constrains. The proposed method is mathematically modeled and the results are analysed. A similar prototype model is designed and the results are compared with the theoretical values.
Solar energy based impedance-source inverter for grid systemIJECEIAES
In this work, the fickleness of solar energy can be overcome by using Maximum Power Point Tracking algorithm (MPPT). Perturb and Observation (P&O) MPPT algorithm accomplish fast the maximum power point for rapid change of environmental conditions such as irradiance intensity and temperature. The MPPT algorithm applied to solar PV system keep the boost converter output constant. Output from boost converter is taken to three phase impedance-source inverter with RL load and grid system. Impedance-source inverter performs the transformation of variable DC output of the solar PV system in to near sinusoidal AC output. This near sinusoidal AC output consecutively is served to the RL load first and then to grid system. The simulation is carried out in matlab/simulink platform both for RL load and grid system and the simulation results are experimentally validated for RL load arrangement only.
Fast photovoltaic IncCond-MPPT and backstepping control, using DC-DC boost c...IJECEIAES
In this paper, we present our contribution in photovoltaic energy optimization subject. In this research work, the goal is to determinate fastly the optimal PV Module working point, allowing maximum power extraction. In this work we use DC-DC Boost converter to control the working point, by adjusting PV voltage trough duty cycle. In order to achieve our goal, we use the combination of incremental conductance MPPT technique and DC-DC Boost converter backstepping control. The validation of this control is made by Matlab simulation; the obtained results prove its effectiveness and its good maximum power tracking dynamics for different irradiance and temperature profiles.
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.
Electricity is a major source of energy for fast growing population and the use of nonrenewable source is harmful for our environment. This reason belongs to devastating of environment, so it is required to take immediate action to solve these problems which result the solar energy development. Production of a solar energy can be maximizing if we use solar follower. The major part of solar panels is microcontroller with arrangement of LDR sensor is used to follow the sun, where the sensors is less efficient to track the sun because of the low sensitivity of LDR. We are proposing a method to track sun more effetely with the help of both LDR sensors and image processing. This type of mechanism can track sun with the help of image processing software which combines both result of sensors and processed sun image to control the solar panel. The combination of both software and hardware can control thousands of solar panels in solar power plants.
Solar energy the most efficient, eco-friendly and abundantly available energy source in the nature. It can be
converted into electrical energy in cost effective manner. In recent years, the interest in solar energy has risen
due to surging oil prices and environmental concern. In many remote or underdeveloped areas, direct access to
an electric grid is impossible and a photovoltaic inverter system would make life much simpler and more
convenient. With this in mind, it is aimed to design, build, and test a solar panel inverter. This inverter system
could be used as backup power during outages, battery charging, or for typical household applications. The main
components of this solar system are solar cell, dc to dc boost converters, and inverter. Sine wave push pull
inverter topology is used for inverter. In this topology only two MOSFETs are used and isolation requirement
between control circuit and power circuit is also less which helps to decrease the cost of solar inverter.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
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.
This paper presents the analysis, modeling and control of a grid connected photovoltaic generation system. The model contains a detailed representation of the solar array, grid side multilevel neutral point clamped voltage source inverter. Fuzzy logic controller for the maximum power point tracking of a photovoltaic system under variable temperature and insulation conditions is discussed. The PQ control approach has been presented for the multilevel inverter. One of the most common control strategies structures applied to decentralized power generator is based on power direct control employing a controller for the dc link voltage and a controller to regulate the injected current to the utility network. The proposed models were implemented in Matlab/Simulink.
Harvesting energy from the sun makes the photovoltaic (PV) power generation a promising technology. To obtain a consistent state of charge (SOC), consistent energy must be harvested and efficiently directed to the battery. Overcharging or undercharging phenomena decreases the lifetime of the battery. Besides, the effect of irradiance toward solar in term of sunlight intensity effects the efficiency and hence, sluggish the SOC. The main problem of the solar panel revealed when the temperature has increased, the efficiency of solar panel will also be decreased. This manuscript reports the finding of developing an automatic active cooling system for a solar panel with a real time energy monitoring system with internet-of-things (IoT) facility. The IoT technology assists user to measure the efficiency of the solar panel and SOC of the battery in real time from any locations. The automatic active cooling system is designed to improve the efficiency of the solar panel. The effectiveness of the proposed system is proven via the analysis of the effect of active cooling toward efficiency and SOC of photovoltaic system. The results also tabulate the comparative studies of active-to-passive cooling system, as well as the effect of cooling towards SOC and efficiency of the solar panel.
This paper presents the design and the implementation of a new microcontroller-based solar
Power inverter. The aim of this paper is to design single phase inverter which can convert DC voltage
to AC voltage at high efficiency and low cost. Solar and wind powered electricity generation are
being favored nowadays as the world increasingly focuses on environmental concerns. Power
inverters, which convert solar-cell DC into domestic-use AC, are one of the key technologies for
delivering efficient AC power The hardware and software design are oriented towards a single-chip
microcontroller-based system, hence minimizing the size and cost. With this new approach the
modularization of the conversion from solar power to electric power at its maximum power point can
be made more compact and more reliable.
The International Journal of Engineering and Science (IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Drive Applications of Fuzzy Logic Controlled Interleaved Boost Converter for ...EECJOURNAL
The improvement in the efficiency, a reduced ripple and reduction in the passive elements is proposed in this project through the interleaved boost converter. The interleaved boost converter operates multiple phase approach, is used for the power factor control applications. The proposed converter is used to extract the power output from the solar panel with reduced ripple losses and greater efficiency thereby obtaining the maximum power from the solar panel. The control of the current with energy saving method is obtained with the efficiency of 95%. The converter operation is controlled by the fuzzy logic controller to operate the switches with the finest and reduced power loss constrains. The proposed method is mathematically modeled and the results are analysed. A similar prototype model is designed and the results are compared with the theoretical values.
Solar energy based impedance-source inverter for grid systemIJECEIAES
In this work, the fickleness of solar energy can be overcome by using Maximum Power Point Tracking algorithm (MPPT). Perturb and Observation (P&O) MPPT algorithm accomplish fast the maximum power point for rapid change of environmental conditions such as irradiance intensity and temperature. The MPPT algorithm applied to solar PV system keep the boost converter output constant. Output from boost converter is taken to three phase impedance-source inverter with RL load and grid system. Impedance-source inverter performs the transformation of variable DC output of the solar PV system in to near sinusoidal AC output. This near sinusoidal AC output consecutively is served to the RL load first and then to grid system. The simulation is carried out in matlab/simulink platform both for RL load and grid system and the simulation results are experimentally validated for RL load arrangement only.
Fast photovoltaic IncCond-MPPT and backstepping control, using DC-DC boost c...IJECEIAES
In this paper, we present our contribution in photovoltaic energy optimization subject. In this research work, the goal is to determinate fastly the optimal PV Module working point, allowing maximum power extraction. In this work we use DC-DC Boost converter to control the working point, by adjusting PV voltage trough duty cycle. In order to achieve our goal, we use the combination of incremental conductance MPPT technique and DC-DC Boost converter backstepping control. The validation of this control is made by Matlab simulation; the obtained results prove its effectiveness and its good maximum power tracking dynamics for different irradiance and temperature profiles.
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.
Electricity is a major source of energy for fast growing population and the use of nonrenewable source is harmful for our environment. This reason belongs to devastating of environment, so it is required to take immediate action to solve these problems which result the solar energy development. Production of a solar energy can be maximizing if we use solar follower. The major part of solar panels is microcontroller with arrangement of LDR sensor is used to follow the sun, where the sensors is less efficient to track the sun because of the low sensitivity of LDR. We are proposing a method to track sun more effetely with the help of both LDR sensors and image processing. This type of mechanism can track sun with the help of image processing software which combines both result of sensors and processed sun image to control the solar panel. The combination of both software and hardware can control thousands of solar panels in solar power plants.
Solar energy the most efficient, eco-friendly and abundantly available energy source in the nature. It can be
converted into electrical energy in cost effective manner. In recent years, the interest in solar energy has risen
due to surging oil prices and environmental concern. In many remote or underdeveloped areas, direct access to
an electric grid is impossible and a photovoltaic inverter system would make life much simpler and more
convenient. With this in mind, it is aimed to design, build, and test a solar panel inverter. This inverter system
could be used as backup power during outages, battery charging, or for typical household applications. The main
components of this solar system are solar cell, dc to dc boost converters, and inverter. Sine wave push pull
inverter topology is used for inverter. In this topology only two MOSFETs are used and isolation requirement
between control circuit and power circuit is also less which helps to decrease the cost of solar inverter.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
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.
This paper presents the analysis, modeling and control of a grid connected photovoltaic generation system. The model contains a detailed representation of the solar array, grid side multilevel neutral point clamped voltage source inverter. Fuzzy logic controller for the maximum power point tracking of a photovoltaic system under variable temperature and insulation conditions is discussed. The PQ control approach has been presented for the multilevel inverter. One of the most common control strategies structures applied to decentralized power generator is based on power direct control employing a controller for the dc link voltage and a controller to regulate the injected current to the utility network. The proposed models were implemented in Matlab/Simulink.
Performance evaluation of Maximum Power Point Tracking algorithm with buck dc...IJERA Editor
The energy crisis concern leads to look for alternate source of energy. Solar energy is considered as most reliable
among the all renewable energy sources. Solar PV (Photovoltaic) is used to convert solar energy into electric
energy. The efficiency of solar PV is very low and its characteristic is nonlinear. To overcome these drawbacks a
technique known as maximum power point tracking is used. This algorithm is implemented in the control circuit
of DC – DC converter. The objective of this paper is to evaluate the MPPT (Maximum Power Point Tracking)
with buck DC-DC converter under load varying conditions. The simulation work is done using PSIM simulation
software.
The Journal of MC Square Scientific Research is published by MC Square Publication on the monthly basis. It aims to publish original research papers devoted to wide areas in various disciplines of science and engineering and their applications in industry. This journal is basically devoted to interdisciplinary research in Science, Engineering and Technology, which can improve the technology being used in industry. The real-life problems involve multi-disciplinary knowledge, and thus strong inter-disciplinary approach is the need of the research.
This paper describes the Grid connected solar photovoltaique system using DC-DC boost converter and the DC/AC inverter (VSC) to supplies electric power to the utility grid. The model contains a representation of the main components of the system that are two solar arrays of 100 kW, boost converter and the grid side inverter. The paper starts with a system description, in this part we have given a definition and a short overview of every component used in this system and they are taken separately. The PV cell model is easy, accurate, and takes external temperature and solar radiation into consideration. It also proposes a maximum power point tracking (MPPT) algorithm. The algorithm incorporated in a DC/DC converter is used to track the maximum power of PV cell. Finally, the DC/AC inverter (VSC) of three- level is used to regulate the ouput voltage of DC/DC converter and connects the PV cell to the grid. Simulation results show how a solar radiation’s change can affect the power output of any PV system, also they show the control performance and dynamic behavior of the grid connected photovoltaic system.
Incremental Conductance MPPT Algorithm for PV System Implemented Using DC-DC ...IJERA Editor
The two basic topologies of switch mode DC-DC converters (Buck and Boost) are analyzed with a view of their use in PV (photovoltaic) systems, as the photovoltaic generator exhibits non-linear characteristics due to the change in environmental condition and load variation. As the efficiency of PV panels is low it becomes mandatory to extract maximum power from the PV panel at a given period of time. Several MPPT algorithms with different types of converters are being proposed for extracting maximum power from the PV panel. It is found that the nature of load plays an important role in the choice of topology. This paper investigates the implementation issues of Incremental Conductance method with Buck and Boost Converters. Mathematical analysis and desirable steady-state operating point of the converters are derived to give satisfactory maximum power point tracking operation.
Design of a Grid-Connected Photovoltaic Inverter with Maximum Power Point Tra...IAES-IJPEDS
There is no easy way to convert Photovoltaic (PV) energy with high
efficiency due to dynamic changes in solar irradiance and temperature. This
paper illustrates a control strategy to design and implementation of
Maximum Power Point Tracking (MPPT) in a photovoltaic system using
Perturb and Observe (P&O) algorithm. The PSIM simulation results confirm
proper functioning of the proposed MPPT sub-circuit to achieve a constant
48V DC output from fluctuating voltage of solar panel by varying duty cycle
of the MOSFET in the 24V-48V boost converter. The filtered output
waveform of the SPWM driven H-bridge inverter via the L-C low pass filter
is found to be a pure sine-wave of 48V peak which is then stepped-up 312V
peak (220V rms) by using a step up transformer. The frequency of output
voltage is found to be 50Hz with a total harmonic distortion (THD) of 0.001
which is much lower than the IEEE 519 standard.
This work includes the establishment of a Photovoltaic system connected to the grid by means of an inverter. The fundamental goal of the work is to incorporate an advanced active power flow management scheme in order to adopt load at any weather condition along with the advantage of maximum active power flow and zero harmonics from PV inverter to the grid. The outcome of analysis and control design of grid connected PV inverter using a Proportional-Integral (PI) control technique is based on synchronous dq rotating reference frame so as to achieve maximum output voltage and record the active power. It has been observed that the model provides a better rate of stability as compared to the existing topology.
Performance Comparison of PID and Fuzzy Controllers in Distributed MPPTIJPEDS-IAES
With an increase of Green Technology applications, Photovoltaic have
emerged as the most appropriate solution for electricity generation purposes.
However, due to variable temperature and irradiance, under the partial or
shaded conditions Maximum Power Point Tracking is needed to determine
highest efficiency of the system. The paper describes dynamic modeling and
control of variable temperature and irradiance on solar panel in SIMULINKMATLAB
environment. The implementation of Buck Converter is used for
power switching and impedance matching on connecting the panel to the
load. The effectiveness of the model, with enhanced efficiency through
voltage stabilization, is performed using Proportional-Integral-Derivative and
Fuzzy-Logic-Controllers. A comparative study is made for PID and FLC on
the basis of outputs to deal with online set point variations. FLC gives closer
results to Standard Test Conditions when compared with PID. The Fuzzy
system developed, using tested membership functions serve as a platform for
sustainable standalone and grid-based applications using distributed MPPT.
Improved dynamic performance of photovoltaic panel using fuzzy logic-MPPT alg...nooriasukmaningtyas
The nonlinear characteristics and intense credence dependence of
photovoltaic (PV) panel on the solar irradiance and ambient temperature
demonstrate important challenges for researchers in the PV panel topic. To
overcome these problems, the maximum power point tracking (MPPT)
controller is needed which can improve the PV panel efficiency. In other
words, for maximum efficiency, the MPPT controller can help to extract the
optimal and overall available output power from the PV panel at different
output load conditions. Fuzzy logic (FL) is one of the strongest techniques in
the extracting of MPP in the PV panel since it has several advantages; robust;
no requirement to have an accurate mathematical model, and works with
imprecise inputs. Therefore, in this paper, fuzzy logic (FL-MPPT) has been
designed and simulated to improve dynamic performance PV panel at
different solar irradiance and then increased the efficiency. Therefore,
"MATLAB/Simulink software" has been used to build the proposed
algorithm and the simulation results have been adequate as well. Besides, a
robust FL-MPPT algorithm has been presented with high dynamic
performance under different weather conditions. Finally, the proposed
algorithm has a quicker response and less oscillatory comparison of the
conventional algorithms in the subject of extracting the maximum PV power.
A literature review on industrially accepted MPPT techniques for solar PV systemIJECEIAES
Solar energy is a clean renewable energy and it is available around 89,000 TW on the earth surface. To get maximum power from a solar PV system with minimum power transfer loss is one of the main design objectives of an energy transferring network. Power electronic devices perform a very important character for an efficient PV power tracking system control and either incorporates to transfer the generated power to the ac/dc grid or battery storage system. In this case the duty of the power electronics devices used in PV system is to track maximum power point under different operating conditions of environment, so that power tracking efficiency of solar PV system can be improved. This paper encapsulates based the on performance comparisions on the behavior of MPP under uniform and nonuniform operating conditions and selects the optimum duty cycle for industrially accepted MPPT techniques with their algorithm.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
The main objective of this research work is to develop KY conveter topology for renewable energy sources.Solar energy is the readily available and is the cheapest form of energy. It is non-polluting and environment friendly. The development of high static gain DC-DC converters is an important research area due to the crescent demand of this technology for several applications supplied by low DC output voltage power sources. It is used to provide the uninterruptable power supply and battery powered to the system. So here, step-up DC-DC converters based on the KY converter are proposed for LED lighting systems. The proposed topologies present high voltages and high efficiency for low input voltage and high output voltage applications. The simulation results of the proposed topology have been presented using MATLAB/SIMULINK software.
Modelling and Simulation of Perturbation and Observation MPPT Algorithm for P...IJMTST Journal
Renewable energy has too much attention over past few years specially solar energy. Photovoltaic is a
technique in which solar energy is converted into electrical energy (DC). As we know conventional energy is
limited so we are trying to improve the uses of renewable energy like solar energy, hydel energy, and tidal
energy. A single cell of photovoltaic has still very low output so it is necessary to improve the performance
and reduce the cost. The model of photovoltaic presented in this paper can be used to visualize its output
characteristics which are I-V characteristics and P-V characteristics under different irradiation level and
temperature. In this paper MPPT- Maximum power point tracking is a method in which changing the ratio
between current and voltage delivered to get power by tracking one maximum power point from array input.
Here the system developed by combining (PV) photovoltaic module and DC-DC boost converter. There is a
detail discussion of DC-DC boost converter and perturbation and observation (P&O) MPPT algorithm.
Perturbation and observation (P&O) principal is to create a perturbation by increasing or decreasing the duty
cycle of DC-DC boost converter and observe the change in PV output. Used algorithm is to track MPPs because
it performance very small control under rapid changes. This is experimentally verified by modelling the PV
system with MPPT algorithm in MATLAB/Simulink Software.
Similar to MPPT oscillations minimization in PV system by controlling non-linear dynamics in SEPIC DC-DC converter (20)
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.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
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.
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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.
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.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
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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.
2. Int J Elec & Comp Eng ISSN: 2088-8708
Oscillations minimization at MPP by controlling non-linear dynamics in ... (M. Vaigundamoorthi)
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supress chaos. Also, The PID controller and sliding mode controllers are also experimented to nullify the effect
of chaos in DC-DC converters.
This paper explores that SEPIC DC-DC converter interfaced solar PV system may enter into chaotic-
aperiodic mode during maximum power tracking process. The analysis and suppression of chaos in a voltage
mode-controlled SEPIC converter-based solar PV system has been mitigated and the use of adaptive sliding
control method is experimented to nullify the chaos effect and that control has been examined to minimize
the oscillations near to MPP.
2. SEPIC CONVERTER BASED SOLAR PV SYSTEM
2.1. System description
Figure 1 and Figure 2 show the block diagram and hardware setup of sliding mode controlled SEPIC
DC-DC converter interfaced solar PV system. The power circuit has an inductors L1, L2, capacitors C1, C2,
a Power switch S, a load resistance, a solar PV module (L1235-37Wp) shown in Figure 3.
Figure 1. Block diagram Figure 2. Experimental setup
Figure 3. SEPIC DC-DC converter
2.2. Design of SEPIC converter
The SEPIC DC-DC converter has advantages such as non-pulsating nature of load current and positive
load voltage and has high efficiency than Buck-Boost converter. The positive output voltage is obtained based
on the following two modes of operation in one switching period. 1) MOSFET is ON and the diode is not
operated. The input inductor, L1, is charged from the PV input voltage. The output inductor L2 finds energy
from the first capacitor, and the output capacitor C2 is left to provide the load current. The fact is that both L1
and L2 are disconnected from the load when the switch S, is turned on. In mode 2), The MOSFET is turned off
and diode is operated, the input inductor L1 charges the capacitor C1 and also provides current to the load.
The second inductor is also connected to the load during this time. The steady state output voltage equation is
given by
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VO
VIN
=
D
(1−D)
(1)
Also, the steady state current equation is
IIN
I0
=
D
(1−D)
(2)
The (3) shows the designed value of inductors
L1 =L2=L=
VIN(MIN)∗ DMAX
∆IL∗fS
(3)
The voltage specifications of capacitor C1 is selected as high as input voltage. The ripple voltage of
C1 is given by
∆Vc1=
I(OUT)∗ DMAX
C1∗fS
(4)
The SEPIC DC-DC converter is designed with inductors L1=L2 =500µH, Capacitors C1=C2= 220µF, switching
frequency=25 KHz, MOSFET-IRF510, and diode-MUR450 are selected for hardware implementation.
2.3. L1235-37Wp Solar PV module
The solar PV output power depends on insolation, atmospheric temperature and type of load
characteristic. From the equivalent circuit shown in Figure 4(a), the current and voltage equations are given
by (5) and (6) respectively.
Isc=ID +Ipv + (VD / R p) (5)
Vpv=VD - (Ipv*Rs) (6)
Where diode current is, ID=Io + ( e (V
D
/ V
T
)
- 1), Isc is the short circuit current, Vt=NsKT / q is
the thermal voltage with Ns cells connected in a series (K is the Boltzmann constant, q is the electron charge
and T is the temperature of the PV cells). Using the equations 5 and 6, solar PV is modelled and simulated in
MATLAB, has V-I charecteristics which is shown in Figure 4(b), The V-I characteristics depend on
the conductance of the load. If the conductance value is high, The PV cell behaves like a constant current
source region. If conductance value is low, the PV cell acts as a constant volatge source. The parameters of
L1235-37W solar PV module which is used for experimental validation are open circuit voltage (Voc)=21,
Voltage at MPP (Vm)=16.4, Short circuit current (Isc)=2.5 A, Current at MPP (Im)=2.25A,
Rated power=37Wp.
Figure 4. (a) Equivalent circuit of solar PV Figure 4. (b) Non-linear V-I characteristics of L1235-
37Wp solar module
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3. RESULTS AND ANALYSIS
The SEPIC DC-DC converter interfaced solar PV system is simulated in MATLAB/Simulink shown
in Figure 5, which comprises PV electric circuit subsystem (MATLAB model), SEPIC DC-DC converter and
a resistive load.
Figure 5. SEPIC converter based adaptive perturb and observer MPPT
The atmospheric constant temperature is considered at 25°C and the irradiation level is set as
1000W/m^2 and after 0.01sec, the irradiation (G) is suddenly changed to 500W/m2
in computer simulation to
test the effectiveness of the adaptive Perturb and Observer algorithm and it was implemented in ATMEGA16
microcontroller. The step size of MPPT algorithm is adjusted which in turn to vary the duty cycle of the switch
in order to harvest maximum power which are shown in Figure 6 and Figure 7. The output power is extracted
from solar PV module at irradiation of 1000 W/m2
and 500W/m2
are 36.74W and 17W respectively.
Figure 6. Change in duty cycle for various irradiation level
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Figure 7. Extracted power for various irradiation level
3.1. Bifurcation analysis of adaptive controlled SEPIC converter based MPPT
Under maximum power point tracked condition, to minimize oscillations near to MPP the non-linear
dynamic behavior of SEPIC DC-DC converter system is mitigated by adjusting reference voltage Vref.
The input voltage of the PV fed SEPIC converter is 16.4 V. The ripples of the tracked voltage are examined
and found that the fundamental period 1-waveform is repeated with Vref =5.68V. At this condition, SEPIC DC-
DC converter system has stable periodic operating behavior. The input voltage ripple of the period-1 operation
under this condition is given in Figure 8.
When the reference voltage (Vref) is adjusted and set as 5.2V and the ripples of input is examined.
Now, SEPIC DC-DC converter undergo an unstable periodic behaviour. The 1-periodic orbit loses its stable
operation, via flip bifurcation it experienced a 2-periodic waveform. The voltage ripple of the period-2
operation is shown in Figure 9.
Figure 8. Tracked voltage ripples-period-1 waveform when Vref =5.62V
Figure 9. Tracked voltage ripples-period-2 waveform when Vref=5.2V
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Further, if Vref is varied, the converter operation changed from a stable period-1 operation to an
unstable operation. The input voltage ripples of SEPIC converter-has unstable aperiodic behavior.
Chaotic waveform is observed for the Vref=4.6V as shown in Figure 10. The state change from periodic to
aperiodic when Vref is adjusted, be the main cause to near to MPP. The sliding mode controller is designed
for SEPIC DC-DC converter by sensing output voltage and input inductor current. The Vref is varied from
4.00V to 5.6 V and Iref is set as 0-2 A and it is proved from Figure 11 that the SEPIC DC-DC converter is
operated in period-1 stable region for parameter variation
The chaotic free tracked input voltage from solar PV string is shown in Figure 12. The oscillations are
nullified near to MPP by eliminating aperiodic-chaos in solar PV system. The Figure 13 shows the experimental
harvested non oscilating power of 36.5w from solar PV under standard test conditions.
Figure 10. Tracked voltage ripples – aperiodic waveform when Vref =4.6V
Figure 11. Tracked voltage ripples-period-1 waveform for 3V< Vref < 5.76V
Figure 12. Tracked Input voltage waveform of the converter
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Figure 13. Experimental harvested power from solar PV
4. CONCLUSION
The adaptive Perturb and Observer algorithm is implemented and harvested maximum power from
solar PV using SEPIC DC-DC converter. To nullify the oscillations near to MPP, aperiodic chaotic behavior
of DC-DC converter is exempted experimentally. The sliding mode controller is designed to ensure period
1-operation of the input voltage of SEPIC DC-DC converter.
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BIOGRAPHIES OF AUTHORS
Dr. M. Vaigundamoorthi, working as Professor in the department of Electrical and Electronics
Engineering, Madanapalle Institute of Technology and science, Madanapalle, Andhra Pradesh,
India. He received his B.E degree in Electrical and Electronics Engineering from Madurai
Kamaraj University, Tamilnadu, India in 2002. He received his Master of Engineering degree and
Ph.D. in the area of Power electronics and Drives from College of Engineering Guindy
(Established 1794- The First engineering college in India), Anna University, Chennai, India in
2007 &2013 respectively. He is having 16 years of teaching experience and has published 7
research articles in reputed international journals. His area of interest include Power Electronics
for Renewable Energy System, controller design, Nonlinear dynamics analysis analysis in solar
PV system.
Dr. R. Ramesh was born in Tamil Nadu, India. He received his B.E degree in Electrical and
Electronics Engineering from University of Madras, Chennai, India in 1999. He received his M.E
degree in Power Systems from Annamalai University, Chidambaram, India in 2002. He received
Ph.D from College of Engineering Guindy, Anna University, Chennai, India in 2008. Presently
he is working as a Professor in the Department of Electrical and Electronics Engineering, College
of Engineering Guindy, Anna University, Chennai, India. His research areas are Multi-area Power
Systems, Solar PV systems, Power Electronic Converters, Web and Embedded based systems.
Dr. V. Vasan Prabhu, associate professor in the department of Electrical and Electronics
Engineering in St. Joseph’s College of Engineering, Chennai has 11 years of teaching and research
experience. He received his BE and ME degrees in Electrical &Electronics Engineering
department from Anna University Chennai. He completed his research work in Switched
Reluctance Machine and its control. His area of interest lies in special electrical machines,
machine design, drives and control and artificial intelligence.
Dr. K. Arul Kumar has obtained B.E., (Electrical and Electronics) degree from Anna University,
Chennai in 2008 and M.Tech (Power Electronics) degree from Vel Tech Dr.RR & Dr.SR
Technical University, Chennai in 2011 and Ph.D. degree in the School of Electrical and Electronic
Engineering, VIT University, Vellore in 2017. His current area of research interests are Power
electronics in Renewable Energy Systems. He is currently working as Associate Professor in
Electrical department in Madanapalle institute of Technology &Science