Research on Photovoltaic MPPT based on Improved Sliding Mode Extremum Seeking Control

Abstract

In order to improve the efficiency of photovoltaic power generation system and solve the problem of maximum power point transfer caused by changes in the external environment, a photovoltaic maximum power point tracking (MPPT) strategy based on the improved sliding mode extremum seeking control (SMESC) is proposed. While realizing the real-time tracking of maximum power point of photovoltaic system, the chattering existing in the traditional SMESC is suppressed through the adaptive adjustment of sliding mode surface parameters, and the better tracking effect is achieved. In addition, the simulation model of photovoltaic power generation system is built based on MATLAB/Simulink platform, and the MPPT effects of PSO algorithm, SMESC algorithm and improved SMESC algorithm are compared and studied. The simulation results show that the MPPT method based on the improved SMESC can realize the real-time tracking of the optimal working point when the external light intensity and temperature change, and avoid the influence of chattering compared with the SMESC algorithm, which has better control effect.