MPPT based on Fuzzy Logic Controller for Photovoltaic System using PSIM and Simulink (original) (raw)
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Simulation of Fuzzy Logic Control Based MPPT Technique for Photovoltaic System
Maximum power point techniques (MPPT) are employed in photovoltaic systems to make full utilization of PV array output power. The output power of PV arrays is always changing with weather conditions i.e, solar irradiation and atmospheric temperature. In this paper, a fuzzy Logic control (FLC) based MPPT technique is proposed to improve the efficiency of a standalone solar energy system. Using a fuzzy logic controller is an intelligent way of tracking the maximum power point (MPP). The performance of the proposed method has been simulated in Matlab/Simulink at different solar irradiation and temperature.
IMPLEMENTATION OF FUZZY LOGIC MAXIMUM POWER POINT TRACKING CONTROLLER FOR PHOTOVOLTAIC SYSTEM
In this study, simulation and hardware implementation of Fuzzy Logic (FL) Maximum Power Point Tracking (MPPT) used in photovoltaic system with a direct control method are presented. In this control system, no proportional or integral control loop exists and an adaptive FL controller generates the control signals. The designed and integrated system is a contribution of different aspects which includes simulation, design and programming and experimental setup. The resultant system is capable and satisfactory in terms of fastness and dynamic performance. The results also indicate that the control system works without steady-state error and has the ability of tracking MPPs rapid and accurate which is useful for the sudden changes in the atmospheric condition. MATLAB/Simulink software is utilized for simulation and also programming the TMS320F2812 Digital Signal Processor (DSP). The whole system designed and implemented to hardware was tested successfully on a laboratory PV array. The obtained experimental results show the functionality and feasibility of the proposed controller.
Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm
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This paper represents a novel modeling technique of PV module with a fuzzy logic based MPPT algorithm and boost converter in Simulink environment. The prime contributions of this work are simplification of PV modeling technique and implementation of fuzzy based MPPT system to track maximum power efficiently. The main highlighted points of this paper are to demonstrate the precise control of the duty cycle with respect to various atmospheric conditions, illustration of PV characteristic curves, and operation analysis of the converter. The proposed system has been applied for three different PV modules SOLKAR 36 W, BP MSX 60 W, and KC85T 87 W. Finally the resultant data has been compared with the theoretical prediction and company specified value to ensure the validity of the system.
International journal of engineering. Transactions A: basics, 2018
In this paper, we present a modeling and implementation of new control schemes for an isolated photovoltaic (PV) using a fuzzy logic controller (FLC). The PV system is connected to a load through a DC-DC boost converter. The FLC controller provides the appropriate duty cycle (D) to the DC-DC converter for the PV system to generate maximum power. Using FLC controller block in MATLAB TM /Simulink environment simplifies its implementation. However, all the parameters of the FLC blocks are not accessible and can not be modified without redesigning it each time, causing the loss of considerable time to control our system. To avoid these drawbacks and to simplify both the access and the plot of all blocks, a modelisation of FLC membership's functions has become a necessity. The simulation and experimental tests on a PV system show that the FLC provides a good tracking of the maximum power point (MPPT). Finally, we have evaluated the operation of the FLC on a real system consisting of a photovoltaic panel (BP580) model and have implemented the control strategy on a digital signal processor dSPACE DS1104.
Studying and analyzing the performance of photovoltaic system by using fuzzy logic controller
Bulletin of Electrical Engineering and Informatics , 2022
The main objective of this paper is to implement a circuit-based simulation model of a photovoltaic (PV) cell in order to investigate the electrical behavior of the practical cell with respect to some changes in weather parameters such as irradiation and temperature. The research focuses on using a simulation model to achieve the maximum power of solar energy by using the maximum power point tracking (MPPT) controller. The circuit simulation model consists mainly of three subsystems: PV cells: DC/DC converter; and MPPT controller-based logic fuzzy control. Dynamic analysis of the system is carried out and the results are recorded. The maximum power control function is achieved with the appropriate power control of the power inverter. Fuzzy logic controller has been used to perform MPPT functions to get maximum power from the PV panel. The proposed circuit was implemented in MATLAB/Simulink and the results show that the output sequence is non-linear and almost constant current to the open circuit voltage and the power has maximum motion to voltage for certain environmental conditions.
Energy is essential component for improving the living condition of the civilization. One of the major concerns in the power sector is that day to day increasing power demand has forced to use the fossil fuels in extreme causing the increasing serious environmental problems thus it is essential to use renewable energies which are characterized by their negligible pollution level and environmental friendly. Solar photovoltaic is a phenomenon where the solar irradiance is converted directly into electricity through solar cell. The photovoltaic energy as an alternative energy source has been widely used as it is pollution free, abundant and broadly available. An important consideration in the use of PV system is to operate the system near maximum power point so as to increase the output efficiency of PV panel. Maximum power point tacking (MPPT) techniques are used in PV applications to extract the maximum power that PV panel can produce, which depends upon different atmospheric conditions i.e solar insolation and temperature. DC-DC converter is inserted between PV array and load for obtaining the desired voltage level at load side. In this paper, a new maximum power point tracker using fuzzy set theory is proposed to improve energy conversion efficiency. Fuzzy algorithm based on linguistic rules describing the operator's control strategy is applied to control boost converter for maximum power point tracking linguistic variables implemented in the fuzzy logic controller have been selected appropriately to modulate the DC-DC converter. Fuzzy logic controller provides advanced features such as fast response, good performance in terms of oscillations. The fuzzy logic controller is designed and analyzed in MATLAB/SIMULINK
Analysis Of Fuzzy-Logic Mppt Controller For Photovoltaic Application
2018
In this study nonlinearity of solar temparute and irradiation leads to variable of photovoltaic power output and reduces in efficiency. A technique based on simulation study is developed to increase the power output of the soalr panels using the combination of photovoltaic system with fuzzy logic control maximum power point tracking algorithm. The MPPT system increase the panel output power under various circumfreences. In this work, to enhance the power abstraction in a controlled manner an intelligent algorithm named as P&O set of rules is introduced, which is commonly stated as maximum power point tracking approach. The exclusive approaches i.e unit power approach and feeder-flow approaches are being penetrated into the cross-breed system. In turn, determines the reference parameters effectively. The conversion of DC output is taken over by the DC-DC buckâboost converter and implemented through the MATLAB/ SIMULINK tool to enable accuracy and excellent tracking performance at var...
An Efficient Fuzzy Logic Based Maximum Power Point Tracking Controller for Photovoltaic Systems
Renewable Energy and Power Quality Journal
This paper represents a Fuzzy Logic (FL) based Maximum Power Point Tracking (MPPT) controller for a PV array. The proposed controller is aimed at adjusting the duty cycle of the DC-DC converter switch to track the maximum power of a PV array. MATLAB/Simulink is used to develop and design the PV array system equiped with the proposed MPPT controller. The developed model has been examined under different operating conditions. The performance of the proposed controller has been compared with conventional ones. The results show that the proposed controller is able to track the MPP in a shorter time with less fluctuations. In addition, the robustness of the proposed controller has been confirmed in the rapidly changing irradiation conditions.
A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systems
International Journal of Hydrogen Energy
Maximum power point tracking (MPPT) techniques are considered a crucial part in photovoltaic system design to maximise the output power of a photovoltaic array. Whilst several techniques have been designed, Perturb and Observe (P&O) is widely used for MPPT due to its low cost and simple implementation. Fuzzy logic (FL) is another common technique that achieves vastly improved performance for MPPT technique in terms of response speed and low fluctuation about the maximum power point. However, major issues of the conventional FL-MPPT are a drift problem associated with changing irradiance and complex implementation when compared with the P&O-MPPT. In this paper, a novel MPPT technique based on FL control and P&O algorithm is presented. The proposed method incorporates the advantages of the P&O-MPPT to account for slow and fast changes in solar irradiance and the reduced processing time for the FL-MPPT to address complex engineering problems when the membership functions are few. To evaluate the performance, the P&O-MPPT, FL-MPPT and the proposed method are simulated by a MATLAB-SIMULINK model for a grid-connected PV system. The EN 50530 standard test is used to calculate the efficiency of the proposed method under varying weather conditions. The simulation results demonstrate that the proposed technique accurately tracks the maximum power point and avoids the drift problem, whilst achieving efficiencies of greater than 99.6%.
Application of fuzzy logic technique to track maximum power point in photovoltaic systems
Indonesian Journal of Electrical Engineering and Computer Science, 2022
The use of photovoltaic (PV) systems for generating electric power is increasing in our everyday lives but since the generated voltage and current vary non linearly it has been very difficult to trace the maximum power point (MPP) of the PV systems so to overcome with this problem many power tracking methods were introduced out of which fuzzy logic technique was found to be one of the easy and efficient maximum power point tracking (MPPT) method. In this paper, various MPPT algorithms are observed how they help in improving the efficiency of PV systems by adjusting the duty ratio of the power interface, and also understand why the fuzzy logic control (FLC) technique is preferred over other algorithms. The system was established using MATLAB/Simulink.