Abstract：In the case of partial shadow, there will be multiple peak points in the P-U curve of the photovoltaic(PV) array, and the conventional maximum power tracking method will fail. This paper proposes a particle swarm optimization algorithm based on adaptive weight. Based on the global optimization characteristics of particle swarm optimization, the multi-peak P-U curve of PV array is optimized under local shadow, and the voltage corresponding to the maximum power point is the best output voltage. Combined with voltage closed-loop regulation and Boost circuit, this paper constructs the photovoltaic system simulation model to simulate the maximum power output, which is compared with traditional perturbation and observation method and simulated in Matlab/Simulink.
标题：改进粒子群算法在光伏阵列多峰值MPPT中的应用
title:Application of Improved Particle Swarm Optimization Algorithm in Multi-Peak MPPT for Photovoltaic Array
作者：张异殊,王晓文
authors:ZHANG Yishu,WANG Xiaowen
关键词：局部阴影,最大功率点跟踪(maximum power point tracking, MPPT),粒子群算法,Simulink仿真,
keywords:partial shadow,maximum power point tracking(MPPT),particle swarm optimization,Simulink simulation,
