中国电机工程学报2012，Vol.32Issue(4)：42-48,7.
粒子群优化算法在光伏阵列多峰最大功率点跟踪中的应用
Application of PSO Algorithm in Global MPPT for PV Array
摘要
Abstract
Conventional maximum power point tracking（MPPT） methods are ineffective under partially shaded conditions,because multiple local maximum can be exhibited on the power-voltage characteristic curve.A control algorithm based on particle swarm optimization（PSO） algorithm for solving multiple MPPT was studied.A novel way of disperse locating the initial position of agents to all the possible local maximum voltage points was proposed based on P-U characteristics,which could guarantee all the agents not converge at a local maximum and no maximum be missed.The parameters of PSO algorithm were set,and efficient iteration stop strategy was proposed which could reduce the power oscillation when trending to steady state.Simulation results indicate that the proposed global MPPT algorithm can fast and accurately track the global maximum under uniform solar irradiance and partially shaded conditions,and can improve the array output efficiency.关键词
局部阴影/多峰/全局最大功率点跟踪/粒子群算法/光伏阵列Key words
partially shaded conditions/multiple local maximum/global maximum power point tracking（MPPT）/particle swarm optimization（PSO） algorithm/photovoltaic（PV） array分类
信息技术与安全科学引用本文复制引用
朱艳伟,石新春,但扬清,李鹏,刘文颖,魏德冰,付超..粒子群优化算法在光伏阵列多峰最大功率点跟踪中的应用[J].中国电机工程学报,2012,32(4):42-48,7.基金项目
国家自然科学基金项目(50977029) （50977029）
