Optimization of the fuzzy MPPT controller by GA for the single-phase grid-connected photovoltaic system controlled by sliding mode

Abstract

This paper focuses on the performance of a single-phase inverter coupled to the grid in terms of optimal photovoltaic transfer, using the concept of sliding-mode variable structure systems. Moreover, a fuzzy logic control technique optimized by genetic algorithm (GA) associated with a boost converter is used to extract the Maximum Power Point Tracking (MPPT).The validation of the results using Matlab/Simulink software is carried under different environmental and operating conditions to verify the satisfactory performance of the proposed control strategies.The original version of this article supplied to AIP Publishing contained an error in the author’s name. The name originally appeared as, Layachi Zaghba, but the correct name is Zaghba Layachi. An updated version of this article, with the author’s name corrected, was published on January 23, 2020.This paper focuses on the performance of a single-phase inverter coupled to the grid in terms of optimal photovoltaic transfer, using the concept of sliding-mode variable structure systems. Moreover, a fuzzy logic control technique optimized by genetic algorithm (GA) associated with a boost converter is used to extract the Maximum Power Point Tracking (MPPT).The validation of the results using Matlab/Simulink software is carried under different environmental and operating conditions to verify the satisfactory performance of the proposed control strategies.The original version of this article supplied to AIP Publishing contained an error in the author’s name. The name originally appeared as, Layachi Zaghba, but the correct name is Zaghba Layachi. An updated version of this article, with the author’s name corrected, was published on January 23, 2020.