电工电气
電工電氣
전공전기
ELECTROTECHNICS ELECTRIC
2013年
4期
33-35
,共3页
粒子群算法%多峰%局部阴影%最大功率点跟踪
粒子群算法%多峰%跼部陰影%最大功率點跟蹤
입자군산법%다봉%국부음영%최대공솔점근종
particle swarm optimization algorithm%multiple local maximum%partially shaded conditions%maximum power point tracking
为了解决在局部阴影的条件下,传统的最大功率点跟踪(MPPT)控制方法不能准确跟踪到最大功率点的问题,采用了粒子群优化算法,并通过粒子初始位置的设定、粒子群算法参数的设定和终止策略的制定提高了算法的准确性.通过添加粒子淘汰环节,提高了算法的执行效率.在 Matlab/Simulink 环境下进行了仿真,并且对仿真结果进行了分析,验证了该方法的正确性.
為瞭解決在跼部陰影的條件下,傳統的最大功率點跟蹤(MPPT)控製方法不能準確跟蹤到最大功率點的問題,採用瞭粒子群優化算法,併通過粒子初始位置的設定、粒子群算法參數的設定和終止策略的製定提高瞭算法的準確性.通過添加粒子淘汰環節,提高瞭算法的執行效率.在 Matlab/Simulink 環境下進行瞭倣真,併且對倣真結果進行瞭分析,驗證瞭該方法的正確性.
위료해결재국부음영적조건하,전통적최대공솔점근종(MPPT)공제방법불능준학근종도최대공솔점적문제,채용료입자군우화산법,병통과입자초시위치적설정、입자군산법삼수적설정화종지책략적제정제고료산법적준학성.통과첨가입자도태배절,제고료산법적집행효솔.재 Matlab/Simulink 배경하진행료방진,병차대방진결과진행료분석,험증료해방법적정학성.
In order to solve the problem that under partially shaded conditions, the traditional maximum power point tracking (MPPT) control method can not correctly track the maximum point, this paper adopted the particle swarm optimization (PSO) algorithm and raised correctness of the algorithm via initial location of particles, setting of PSO algorithm parameters and making of termination strategy. Via adding of particles elimination link, execution efficiency of algorithm was raised. Simulation in Simulink of Matlab was carried out and the simulation result was analyzed to verify the correctness of the method.
