An Advanced Fuzzy Control for Maximum Power Point Tracking PV System Optimized with Modified MDE Algorithm

Abstract

This paper proposes a new method of maximum power point tracking (MPPT) using novel asymmetric fuzzy MPPT controller (AFC-MPPT) for photovoltaic (PV) system improved from Perturbed and Observed (P&O) algorithm. This PV system is composed of the PV solar panel, buck-boost DC-DC converter and proposed AFC-MPPT controller. The proposed AFC-MPPT technique is fully compared to the other advanced MPPT algorithms such as classic fuzzy FC-MPPT, symmetric fuzzy FC-MPPT, P&O methods through which confirms the effectiveness and the superiority of the proposed asymmetric fuzzy AFC-MPPT technique. Furthermore, important input-output membership functions coefficients of AFC-MPPT controller will be optimally identified using modified differential evolution (mDE) algorithm. The simulation and experiment results are adequately presented to demonstrate the performance of AFC-MPPT method.