Optimal tracking PV system using fuzzy MPPT under shading

Due to the variations in weather conditions, photovoltaic systems designate maximum power point tracking controllers to extract the maximum power of the solar module. Solar photovoltaic energy is the most sustainable and economically competitive source, where solar irradiation is converted directly into electricity via a solar cell. Solar PV systems have many benefits, including free fuel. The main objective of this work is to determine whether the PV system is feasible from a technical, financial and economic point of view. The literature presents many classical Maximum Power Point Tracking (MPPT) methods namely Perturb & Observe algorithm, which has oscillation problems around the operating point, this affects its efficiency and complicates its control. In this paper, we present a new fuzzy PV MPPT based on custom defuzzification, where the power obtained through the latter is significant compared to the Perturb & Observe method in order to compare their results obtained via MATLAB/Simulink software in terms of settling time and oscillations at the operating point, as well as performance indices such as rise time and overshoot.