Fuzzy Logic Based Maximum Power Point Tracking of Photovoltaic System

Abstract

A photovoltaic (PV) system converts light into electricity and has nonlinear characteristics between power and voltage. The PV system is affected by changes in environmental conditions and other factors. In PV system, the maximum power is obtained at the operating point. Many Maximum Power Point Tracking (MPPT) algorithms have been presented and explored in the literature, however many of them have drawbacks in terms of adaptability, efficiency, and accuracy. Traditional controllers are incapable of providing a better response due to the nonlinear nature of PV module current-voltage characteristics. The primary objective of this work is to design and implement a fuzzy logic control for obtaining MPPT for a photovoltaic system. Fuzzy logic control is a heuristic method to controller design that uses artificial intelligence to track maximum power. In this method, desirable results are achieved by defining the logical rule and specific range of membership functions. Simulink is used to develop and simulate a maximum power point tracking system that includes a photovoltaic voltaic module, a quadratic boost converter, and a fuzzy controller.