IMPLEMENTATION OF FUZZY LOGIC MAXIMUM POWER POINT TRACKING CONTROLLER FOR PHOTOVOLTAIC SYSTEM (original) (raw)

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.

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

Maximum Power Point Tracking Method Based Fuzzy Logic Control for Photovoltaic Systems

2017

Maximum Power Point Tracking (MPPT) techniques are most famous application in photovoltaic system to track the maximum power of the PV system. Usually, most of maximum power point tracking algorithms used fixed step and two variables: the photovoltaic (PV) array voltage (V) and current (I). Therefore both PV array current and voltage have to be measured. The maximum power point trackers that based on single variable (I or V) have a great attention due to their simplicity and ease in implementation, compared to other tracking techniques. With traditional perturb and observe algorithm based on two variable (I and V) using fixed iteration step-size, it is impossible to satisfy both performance requirements of fast response speed and high accuracy during the steady state at the same time. To overcome these limitations a new algorithm based on single variable method with variable step size has been investigated which has been implemented using fuzzy logic control. The proposed method has...