MPPT Control Strategy of Photovoltaic Based on Improved Particle Swarm Optimization

Abstract

Since 21th century, the global economy has developed rapidly, coupled with the improvement of people's awareness of environmental protection, renewable energy technology has attracted more and more attentions around the world. Solar energy has the characteristics of cleanness and abundant reserves, so it is more in line with the current requirements for energy in terms of quality and quantity. According to the basic principle of maximum power point tracking technology of photovoltaic, this paper comprehensively compares and analyzes the current maximum power point tracking technology of photovoltaic cells. In order to solve the shortcomings of the traditional maximum power point tracking control strategy, an improved particle swarm optimization (PSO) control strategy based on parameter coordination for maximum power point tracking of photovoltaic cells proposed in the paper. So it can solve the problem that the traditional PSO algorithm falls into local extreme value in the tracking process. Finally, by building a simulation model of three-phase photovoltaic grid-connected power generation system using Matlab/Simulink, the improved PSO algorithm is used to track the maximum power point. The simulation results show that the improved PSO algorithm can be better applied to the three-phase photovoltaic grid-connected power generation system, and the MPPT can be realized faster. Meanwhile, the output power quality is better.