粒子群算法在光伏陣列多峰MPPT中的應(yīng)用 

季亞鵬，孫萬(wàn)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(wèn)題，采用了粒子群優(yōu)化算法，并通過(guò)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(guò)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

參考文獻(xiàn)
[1] Kobayashi K, Takano I, Sawada Y. A Study of a Two Stage Maximum Power Point Tracking Control of a Photovoltaic System under Partially Shaded Insolation Conditions[J]. Solar Energy Material & Solar Cells, 2006，90(18/19)：2975-2988.
[2] 劉艷莉，周航，程澤.基于粒子群優(yōu)化的光伏系統(tǒng)MPPT控制方法[J].計(jì)算機(jī)工程，2010，36(15)：65-267.
[3] Miyatake M, Veerachary M, Toriumi F. Maximum Power Point Tracking of Multiple Photovoltaic Arrays：A PSO Approach[J].IEEE Transactions on Aerospace and Electronic Systems, 2011，47(1)：367-380.
[4] 周馳，高海兵，高亮，等.粒子群優(yōu)化算法[J].計(jì)算機(jī)應(yīng)用研究，2003，20(12)：7-11.
[5] 楊維，李歧強(qiáng).粒子群優(yōu)化算法綜述[J].中國(guó)工程科學(xué)，2004，6(5)：87-94.
[6] 胡旺，李志蜀.一種更簡(jiǎn)化而高效的粒子群優(yōu)化算法[J].軟件學(xué)報(bào)，2007，18(4)：861-868.
[7] Patel H, Agarwal V. MATLAB-Based Modeling to Study the Effects of Partial Shadings on PV Array Characteristics[J].IEEE Transactions on Energy Conversion, 2008，23(1)：302-310.
[8] 高鷹，謝勝利.基于模擬退火的粒子群優(yōu)化算法[J].計(jì)算機(jī)工程與應(yīng)用，2004，40(1)：48-50.
[9] 黃輝先，陳資濱.一種改進(jìn)的粒子群優(yōu)化算法[J].系統(tǒng)仿真學(xué)報(bào)，2007，19(21)：4922-4925.
[10] 李洪亮，侯朝楨，周紹生.一種高效的改進(jìn)粒子群優(yōu)化算法[J].計(jì)算機(jī)工程與應(yīng)用，2008，44(1)：14-16.
[11] 陸克中，張秋華，孫蘭娟.一種改進(jìn)的粒子群優(yōu)化算法及其仿真[J].計(jì)算機(jī)技術(shù)與發(fā)展，2007，17(11)：88-91.
[12] Mutoh N, Ohno M, Inoue T. A Method for MPPT Control While Searching for Parameters Corresponding to Weather Conditions for PV Generation Systems[J].IEEE Transactions on Industrial Electronics, 2006，53(4)：1055-1065.