宇航计测技术

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基于粒子群优化的光伏阵列最大功率点跟踪法研究

薛蕾1；赵建辉1；李帆1；郝博1   

  1. 1、北京航空航天大学 仪器科学与光电工程学院,北京 100191
  • 出版日期:2012-10-15 发布日期:2012-10-15

Maximum Power Point Tracking of Photovoltaic Array based on PSO

XUE Lei1；ZHAO Jian-hui1；LI Fan1；HAO Bo1   

  1. 1、School of Instrument Science and OpticalElectronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191
  • Online:2012-10-15 Published:2012-10-15

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摘要： 光伏阵列在局部阴影条件下，出现反向雪崩效应，导致输出功率出现多个局部极大值点，此时常规的最大功率点跟踪（MPPT）失效。基于比较完善的光伏电池遮挡模型，对光伏阵列进行建模，验证其输出功率的多峰特性。提出一种基于粒子群优化算法（PSO）的多峰最大功率点跟踪方法，并积累粒子个体搜索经验，提高跟踪速度。仿真表明，当外界条件变化时，此方法可以快速跟踪光伏模块的最大功率，从而有效地利用能源。

关键词: 光伏电池, +最大功率点跟踪, +粒子群优化算法, +局部阴影

Abstract: Under partially shaded conditions, the reverse of avalanche effect occurs in the shadow of photovoltaic cells, resulting in multiple local maxima in the output power of photovoltaic array, then the conventional MPPT failures. This paper built the model of photovoltaic array under partially shaded conditions based on the perfect model of photovoltaic cells and verified the multipeak characteristics of the output power. The paper proposed a global MPPT control method based on PSO, and improved the tracking speed by accumulating search experience of individual particle. The simulations indicate the MPPT method can track the global maxima quickly when the external conditions change and make full use of energy in the end.

Key words: Photovoltaic cells, +Maximum Power Point Tracking(MPPT), +Particle Swarm Optimization(PSO) algorithm, +Partially shaded condition

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