Control of a photovoltaic system by fuzzy logic, comparative studies with conventional controls: results, improvements and perspectives (original) (raw)
Related papers
A Fuzzy Logic Controller Based MPPT Technique for Photovoltaic Generation System
International Journal on Electrical Engineering and Informatics, 2021
Solar energy is abundant and sustainable energy that photovoltaic (PV) cells can transform directly into electricity. Several conditions such as temperature and solar irradiance, influence the power production of PV systems. Maximum power point tracking (MPPT) methods have been developed and used in PV systems to improve productivity due to changing weather conditions. This paper addresses the modeling and simulation of MPPT of a grid-connected PV system with the aid of a fuzzy logic controller (FLC). FLC results compared with Perturb & Observe (P&O) algorithm and incremental conductance (IC). A simulation toolbox MATLAB Simulink was used to validate the findings experimentally. The performance of the suggested MPPT FLC indicates that the FLC reaches the optimum power point more effectively than traditional approaches.
Improving the dynamic performances of an MPPT controller for a Photovoltaic system using fuzzy logic
2021
This paper deals with analysis, modeling, and simulation of a Photovoltaic (PV) system with an intelligent Maximum Power Point Tracking (MPPT) controller based on fuzzy logic and to compare the dynamic performances: rapidity and stability of a fuzzy controller with the traditional controller based on the “Perturb and Observe” algorithm (P&O). The system is simulated under Simulink/Matlab environment. The simulation results show that the fuzzy MPPT controller is faster and more stable during abrupt changes in irradiation values.
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.
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 buck–boost converter and implemented through the MATLAB/ SIMULINK tool to enable accuracy and excellent tracking performance at var...
Algorithms
This paper presents the results obtained for the maximum power point tracking (MPPT) technique applied to a photovoltaic (PV) system, composed of five solar panels in series using two different methodologies. First, we considered a traditional Perturb and Observe (P&O) algorithm and in a second stage we applied a Fuzzy Logic Controller (FLC) that uses fuzzy logic concepts to improve the traditional P&O; both were implemented in a boost converter. The main aim of this paper is to study if an artificial intelligence (AI) based MPPT method, can be more efficient, stable and adaptable than a traditional MPPT method, in varying environment conditions, namely solar irradiation and/or environment temperature and also to analyze their behaviour in steady state conditions. The proposed FLC with a rule base collection of 25 rules outperformed the controller using the traditional P&O algorithm due to its adaptative step size, enabling the FLC to adapt the PV system faster to changing environme...
Fuzzy Logic MPPT Techniques in Solar Photovoltaic System
IJRASET, 2021
This paper presents the comparative analysis of most commonly used Maximum Power Point Tracking (MPPT) techniques viz Open Circuit Voltage (OCV), Perturb and Observe (PnO) and Incremental Conductance (INC) methods that are capable of extracting maximum power from the PV generation system. The OCV technique is an indirect MPPT method that tracks the Maximum Power Point (MPP) using empirical data or mathematical expressions with numerical corrections and approximations. To operate PV panels at that point (MPP) there are many MPPT method in literature, FLC MPPT method was preferred in this study because, its rapid response to changing environmental conditions and not affecting by change of circuit parameters. The accuracy of FLC MPPT method used in this system to find MPP changes, from 94.8% to 99.4%. To charge a battery there are two traditional methods which are constant current (CC), and constant voltage (CV) methods. For fast charging with low loss constant current and voltage source is a need. One of the methods providing constant is PI control which used in this study.
Development and Analysis of Fuzzy Control for MPPT Based Photovoltaic System
In PV system control of Power electronics converters are very essential for the efficient utilization of the solar System. This paper proposes modified Perturb & Observe Maximum power point tracking (MPPT) with a fuzzy controller for DC-DC boost converter control in Photovoltaic system under shading and varying atmospheric conditions. This paper proposes a different approach for MPPT of PV system so as to obtain maximum power from PV system. In conventional methods, tracking power contains oscillation in the output power. The Simulation and modeling of Photovoltaic system along with proposed algorithm are done using MATLAB/SIMLINK software. Form Simulation results shows that P & O based fuzzy controller algorithm is transient state is fast, less fluctuations and smooth in signal of generated power.
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.
A fuzzy logic control method for MPPT of PV systems
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, 2012
Maximum power point trackers are so important in photovoltaic systems to increase their efficiency. Many methods have been proposed to achieve the maximum power that the PV modules are capable of producing under different weather conditions. This paper proposed an intelligent method for maximum power point tracking based on fuzzy logic controller. The system consists of a photovoltaic solar module connected to a DC-DC Buck-boost converter. The system has been experienced under disturbance in the photovoltaic temperature and irradiation level. The simulation results show that the proposed maximum power tracker could track the maximum power accurately and successfully in all condition tested. Comparison of different performance parameters such as: tracking efficiency and response time of the system shows that the proposed method gives higher efficiency and better performance than the conventional perturbation and observation method.
Fuzzy Logic Control of a Photovoltaic System
In this study, we applied a smart control strategy to obtain a DC/DC driver component which provides peak power control output. For this, a maximun power point traker control method based on fuzzy logic is applied to optimize the operation of the generator photovoltaic. The analysis of the performances of the structure of the proposed system is carried out by MatLab/ Simulink .The system is analyzed under different operating conditions taking into account the change in temperature, radiation and load. The study shows the fuzzy controller reacts according to these conditions by bringing the photovoltaic capture system back to its peak power point. Furthermore, the robustness of the controllers is verified against variation for considered climatic conditions.