Self-learning Maximum Power Point Tracking with Environmental Adaptation for Photovoltaic Power Systems

Abstract

A novel self-learning method is proposed for maximum power point tracking (MPPT) in photovoltaic (PV) system. A simple control circuit is designed to make its implementation effective, in which the super capacitor is used to charge and discharge to achieve fast control. Furthermore, the proposed method is implemented with hardware experiments and MATLAB/Simulink for simulations. The experimental results verify the feasibility of this method for MPPT, while simulations in MATLAB/Simulink indicate that the proposed PV system can react quickly within milliseconds under enormous changes of atmospheric conditions.