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粒子群算法在光伏系统最大功率点跟踪中的应用 被引量:6

Application of particle swarm optimization algorithm in maximum power point tracking for PV system
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摘要 介绍了光伏电池的特性,并在Matlab/Simulink中进行建模仿真研究。针对局部遮阴条件下光伏阵列的P-U特性呈现多个极值点,导致常规的最大功率点跟踪算法失效的问题,提出了一种基于粒子群算法(PSO)的最大功率点跟踪(MPPT)控制方法。仿真结果表明,该方法能够快速、准确地跟踪光伏阵列的最大功率点,具有较好的控制精度,有效地提高了光伏阵列的输出效率。 The characteristics of photovoltaic (PV) were introduced and the simulation model of photovoltaic cells was built in Matlab/Simulink environment. Acontrol algorithm based on particle swarm optimization (PSO) has been proposed for maximum power point tracking (MPPT) to solve the problem that the P-V curve of PV arrays has the characteristics of multi-summit under partially ,~ha.ded conditions, which makes the MPPT failed. Simulation and experimental results show that the control algorithm can quickly and accurately track the maximum power point of PV arrays, with better control accuracy, and improve the efficiency of the PV array output.
出处 《微型机与应用》 2013年第3期70-72,共3页 Microcomputer & Its Applications
关键词 最大功率点跟踪 粒子群优化算法 局部遮阴 maximum power point tracking particle swarm optimization partial shade
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