Research on MPPT Control Method of IoT Terminal Photovoltaic Power Generation System Based on Disturbance Self-Optimization and Fuzzy Algorithm

Abstract

The development of photovoltaic power generation is restricted by problems such as low photoelectric conversion efficiency. In response to this problem, this paper studies the maximum output power of the IoT terminal photovoltaic power generation system under uncontrollable external conditions. Use Matlab simulation tool to establish a photovoltaic cell simulation experiment model. In order to realize that the solar cell can always supply power to the load with the maximum output power when the external environment changes, its maximum power point needs to be tracked. Based on the analysis of the commonly used maximum power point tracking methods, this paper proposes an optimized duty cycle perturbation self-optimization method, which overcomes the shortcomings of the voltage perturbation observation method. Then the fuzzy control strategy is further designed, the fuzzy logic controller is given, the disturbance observation method simulation system based on the voltage and duty cycle disturbance and the maximum power point tracking model of the fuzzy control IoT terminal photovoltaic power generation system are established, and the comparison simulation experiment is carried out. The experimental results show the feasibility and superiority of this method.