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。
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.
出处
《电工电气》
2013年第4期33-35,45,共4页
Electrotechnics Electric
关键词
粒子群算法
多峰
局部阴影
最大功率点跟踪
particle swarm optimization algorithm
multiple local maximum
partially shaded conditions
maximum power point tracking
