基于差分进化算法的阴影影响下光伏阵列MPPT控制研究

doi:10.11930.2015.6.39

摘要/Abstract

摘要： 当光伏模块受到阴影影响时，其功率-电压（P-V）特性曲线有多个峰值点，传统最大功率跟踪控制（MPPT）算法，如扰动观察法（P&O），由于采用局部搜索范围，无法准确跟踪全局最大功率点（GMPP）。提出一种基于差分进化（DE）最优算法的全局最大功率点跟踪方法，同时修正了算法的变异方向，使得所有变异算子总能收敛到最优，有助于算法快速收敛。采用Matlab/Simulink对所述算法进行了仿真分析，并与传统扰动观察法进行了对比，本文所述MPPT方法具有更高的效率和功率输出。

关键词: 光伏阵列, 部分阴影, 差分进化算法, 最大功率点跟踪, 全局最大功率点

Abstract: When PV module is partially shaded, there will be multi peeks in the power-voltage(P-V) characteristic curve. And conventional maximum power point tracking (MPPT) algorithm, such as perturbation and observation(P&O), cannot accurately track global maximum power point(GMPP) due to its local searching area. This paper proposes a differential evolution(DE) based GMPP tracking algorithm which makes all particles converging to the best solution by modifying the direction of mutation. This helps the algorithm to converge rapidly. Simulation of the proposed algorithm is carried out in Matlab/Simulink and is compared to P&O algorithm.

Key words: photovoltaic array, partially shaded, differential evolution algorithm, maximum power point tracking (MPPT), global maximum power point (GMPP)

中图分类号:

TM614

林祺蓉，王俏俏，林祺蔚，林琳，董晨晖，刘红霞. 基于差分进化算法的阴影影响下光伏阵列MPPT控制研究[J]. 中国电力, 2015, 48(6): 39-44.

LIN Qirong, WANG Qiaoqiao, LIN Qiwei, LIN Lin, Dong Chenhui, LIU Hongxia. Research on MPPT Control of Partially Shaded Photovoltaic Array Based on Differential Evolution Algorithm[J]. Electric Power, 2015, 48(6): 39-44.

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https://www.electricpower.com.cn/CN/Y2015/V48/I6/39

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