粒子群算法在光伏阵列多峰MPPT中的应用
季亚鹏，孙万鹏
南京邮电大学 自动化学院，江苏 南京 210046
摘 要：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。
关键词：粒子群算法；多峰；局部阴影；最大功率点跟踪
中图分类号：TM615 文献标识码：B 文章编号：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
参考文献
[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] 刘艳莉，周航，程泽.基于粒子群优化的光伏系统MPPT控制方法[J].计算机工程，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] 周驰，高海兵，高亮，等.粒子群优化算法[J].计算机应用研究，2003，20(12)：7-11.
[5] 杨维，李歧强.粒子群优化算法综述[J].中国工程科学，2004，6(5)：87-94.
[6] 胡旺，李志蜀.一种更简化而高效的粒子群优化算法[J].软件学报，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] 高鹰，谢胜利.基于模拟退火的粒子群优化算法[J].计算机工程与应用，2004，40(1)：48-50.
[9] 黄辉先，陈资滨.一种改进的粒子群优化算法[J].系统仿真学报，2007，19(21)：4922-4925.
[10] 李洪亮，侯朝桢，周绍生.一种高效的改进粒子群优化算法[J].计算机工程与应用，2008，44(1)：14-16.
[11] 陆克中，张秋华，孙兰娟.一种改进的粒子群优化算法及其仿真[J].计算机技术与发展，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.
