Comparative study of different MPPT methods for photovoltaic system

Over many years, a number of tracking control methods of the maximum power point (MPPT) from the photovoltaic (PV) systems have been developed. The performances of these methods under varying environmental conditions vary in terms of energy capture, conversion efficiency, response time and reliability. This paper presents a comparative analysis between different MPPT, that are perturb-and-observe (P&O), incremental conductance(INC), fuzzy logic controller (FLC) and artificial neural networks (ANN). A model of PV module and DC/DC boost converter with the different techniques of MPPTs was simulated using MATLAB/Simulink environment. The simulation results show that the artificial neural networks (ANN) MPPT technique is more efficient when compared to other techniques and presents an estimated fast response of 98.41.