An Improved Efficiency of Photovoltaic Panel Based on Fuzzy Logic Maximum Power Point Tracking Algorithm

Abstract

The nonlinear characteristics and intense credence dependence of photovoltaic (PV) panel on the solar radiation and ambient temperature demonstrate important challenges for researchers in PV panel topic. To overcome these problems, the maximum power point tracking (MPPT) controller is needed which can improve the PV panel efficiency. In other words, for maximum efficiency, the MPPT controller can help to extract the optimal and overall available output power from PV panel at different output load condition. In this paper, fuzzy logic (FL-MPPT) has been designed and simulated to increase the PV panel efficiency. FL is one of the strongest technique in the extracting of MPP in PV panel since it has several advantages; robust; no require to have accurate mathematical model, and works with imprecise inputs. However, MATLAB/Simulink is used to build the proposed algorithm and the simulation results are adequate as well. Therefore, a robust FL-MPPT algorithm has been achieved under different weather condition for the solar radiation and ambient temperature. Finally, the proposed algorithm has a quicker response and less oscillatory comparison the conventional algorithms in extracting the maximum PV power.