Performance Evaluation of Sliding Mode Control and Model Reference Adaptive Control based-MPPT for Photovoltaic Systems

Abstract

This study focuses on optimizing the power output produced via photovoltaic systems. The nonlinearity of the solar generator's operation and its changeable output characteristic during varied climatic circumstances create a strong need for maximizing the output energy. Due to the high demand for extracting maximum energy, numerous methods have been offered to ensure efficient operation at the optimal power for solar systems. The aim of this research is to examine two resilient techniques, sliding mode control and robust adaptive control, used for extracting the maximum power supplied by solar sources. The MPPT algorithms are designed mathematically and then validated using MATLAB/Simulink software. The simulation was conducted to verify the effectiveness against rapidly changing climatic conditions. The MPPT algorithms demonstrate exceptional tracking efficiency, rapid response time, little oscillation around the maximum power point (MPP), and reduced voltage and current ripple.