Modeling and Simulation of a Photovoltaic System Using Fuzzy Logic Controller

The output power induced in the photovoltaic modules depends on solar radiation and temperature of the solar cells. Therefore, to maximize the efficiency of the renewable energy system, it is necessary to track the maximum power point of the PV array. This paper proposes a new method of maximum power point tracking using fuzzy logic for photovoltaic system. It uses a sampling measure of the PV array power and voltage then determines an optimal increment required to have the optimal operating voltage which permits maximum power tracking. This method carries high accuracy around the optimum point when compared to the conventional perturbation and observation algorithm then it assures fast and fine tracking. The system is composed a solar panel, a DC/DC converter, batteries storage and resistive load. A simulation study is presented under variable weather conditions. The obtained results are presented and discussed.