粒子群算法在光伏陣列多峰MPPT中的應(yīng)用
季亞鵬，孫萬鵬
南京郵電大學(xué) 自動(dòng)化學(xué)院，江蘇 南京 210046
摘 要：為了解決在局部陰影的條件下，傳統(tǒng)的最大功率點(diǎn)跟蹤(MPPT)控制方法不能準(zhǔn)確跟蹤到最大功率點(diǎn)的問題，采用了粒子群優(yōu)化算法，并通過粒子初始位置的設(shè)定、粒子群算法參數(shù)的設(shè)定和終止策略的制定提高了算法的準(zhǔn)確性。通過添加粒子淘汰環(huán)節(jié)，提高了算法的執(zhí)行效率。在Matlab/Simulink環(huán)境下進(jìn)行了仿真，并且對(duì)仿真結(jié)果進(jìn)行了分析，驗(yàn)證了該方法的正確性。
關(guān)鍵詞：粒子群算法；多峰；局部陰影；最大功率點(diǎn)跟蹤
中圖分類號(hào)：TM615 文獻(xiàn)標(biāo)識(shí)碼：B 文章編號(hào)：1007-3175(2013)04-0033-03
Application of Particle Swarm Optimization Algorithm in Global Maximum Power Point Tracking for Photovoltaic Array
JI Ya-peng, SUN Wan- peng
College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210046, China
Abstract: 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.
Key words: particle swarm optimization algorithm; multiple local maximum; partially shaded conditions; maximum power point tracking
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