Maximum Power Point Tracking Method Based Fuzzy Logic Control for Photovoltaic Systems (original) (raw)
Related papers
Maximum power point tracking of photovoltaic array using fuzzy logic control
International Journal of Power Electronics and Drive Systems (IJPEDS)
This research introduces the simulation of photovoltaic (PV) array to track the peak point (MPPT) using fuzzy logic control. Therefore, real time simulation is performed in MATLAB/Simulink based on a PV model, boost converter and fuzzy logic-based tracker. A comparative study is carried out against perturb and observe (P&O) controller. The fuzzy logic technique based tracker can successfully track the maximum power point very fast and has precise control when compared to the P&O algorithm. The overall we conclude that the MPPT using the fuzzy logic technique takes a fast response and can improve the performance of the PV system.
International Journal of Electrical and Computer Engineering (IJECE), 2024
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.
Maximum Power Point Tracking Using Adaptive Fuzzy Logic control for Photovoltaic System
This work presents an intelligent approach to the improvement and optimization of control performance of a photovoltaic system with maximum power point tracking based on fuzzy logic control. This control was compared with the conventional control based on Perturb &Observe algorithm. The results obtained in Matlab/Simulink under different conditions show a marked improvement in the performance of fuzzy control MPPT of the PV system.
VHDL Based Maximum Power Point Tracking of Photovoltaic Using Fuzzy Logic Control
International Journal of Electrical and Computer Engineering (IJECE), 2017
It is important to have an efficient maximum power point tracking (MPPT) technique to increase the photovoltaic (PV) generation system output efficiency. This paper presents a design of MPPT techniques for PV module to increase its efficiency. Perturb and Observe method (P&O), incremental conductance method (IC), and Fuzzy logic controller (FLC) techniques are designed to be used for MPPT. Also FLC is built using MATLAB/ SIMULINK and compared with the FLC toolbox existed in the MATLAB library. FLC does not need knowledge of the exact model of the system so it is easy to implement. A comparison between different techniques shows the effectiveness of the fuzzy logic controller techniques. Finally, the proposed FLC is built in very high speed integrated circuit description language (VHDL). The simulation results obtained with ISE Design Suite 14.6 software show a satisfactory performance with a good agreement compared to obtained values from MATLAB/SIMULINK. The good tracking efficiency and rapid response to environmental parameters changes are adopted by the simulation results. Keyword: Maximum power point tracking (MPPT) Photovoltaic (PV) Fuzzy logic controller (FLC) Very high speed integrated Circuit hardware description language (VHDL) 1. INTRODUCTION At present worldwide have an energy crisis so that renewable energy is a necessary solution to conventional resources problems [1]. Photovoltaic (PV) energy is highly recommended in electrical power applications. It is crucial to operate the PV systems near the maximum power point to increase the PV system efficiency.However, the nonlinear nature of PVarray depends on the array terminal operating voltage. Therefore, the tracking control of the maximum power point is a complicated problem. To overcome these problems, many conventional tracking control strategies have been proposed such as perturb and observe [2],[3], incremental conductance [4], parasitic capacitance [5], constant voltage [5], the hill climbing strategy [6]. Intelligent MPPT controller techniques, such as neural network (NN) and fuzzy logic (FL) methods, have been developed [7]-[18]. Using Fuzzy logic methods for maximum power point determination of a solar array has a good stability and a high response rate. Nowadays, fuzzy based [6],[7] researches have been published due toits good performance andhigh accuracy. Field programmable gate arrays (FPGAs) are digital integrated circuits that contain several millions of programmable logic blocks connected together with configurable interconnections. FPGA is used for hardware implementation for many applications especially FLC because of the required high speed and parallel processing of fuzzy logic applications [19],[20]. The paper is organized as follows. In section 2, the stand-alone PV system is presented which describes the PV system and the DC-DC boost converter mathematical modeling and design. Then, proposed
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.