A Fuzzy Logic Controller Based MPPT Technique for Photovoltaic Generation System
Walid S. E. Abdellatif, Mohamed Saad Mohamed, Shimaa Barakat, Ayman M. Brisha
Abstract
Solar energy is abundant and sustainable energy that photovoltaic (PV) cells can transform directly into electricity. Several conditions such as temperature and solar irradiance, influence the power production of PV systems. Maximum power point tracking (MPPT) methods have been developed and used in PV systems to improve productivity due to changing weather conditions. This paper addresses the modeling and simulation of MPPT of a grid-connected PV system with the aid of a fuzzy logic controller (FLC). FLC results compared with Perturb & Observe (P&O) algorithm and incremental conductance (IC). A simulation toolbox MATLAB Simulink was used to validate the findings experimentally. The performance of the suggested MPPT FLC indicates that the FLC reaches the optimum power point more effectively than traditional approaches.