基于改进灰狼优化算法的光伏阵列多峰MPPT研究

毛明轩; 许钊; 崔立闯; 朱立尧; 郭珂; 周林

doi:10.19912/j.0254-0096.tynxb.2021-1261

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太阳能学报 ›› 2023, Vol. 44 ›› Issue (3) : 450-456. DOI: 10.19912/j.0254-0096.tynxb.2021-1261

基于改进灰狼优化算法的光伏阵列多峰MPPT研究

毛明轩^1,2, 许钊¹, 崔立闯³, 朱立尧¹, 郭珂¹, 周林¹

作者信息 +

RESEARCH ON MULTI-PEAK MPPT OF PHOTOVOLTAIC ARRAY BASED ON MODIFIED GRAY WOLF OPTIMIZATION ALGORITHM

Mao Mingxuan^1,2, Xu Zhao¹, Cui Lichuang³, Zhu Liyao¹, Guo Ke¹, Zhou Lin¹

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文章历史 +

摘要

针对局部阴影条件下光伏阵列呈现出的非线性多峰值P-V输出特性,提出一种基于改进灰狼优化算法的最大功率点跟踪（MPPT）控制方法。该算法将传统灰狼优化算法中线性减小的收敛因子改进为按非线性规律变化,以改善算法的动态性能。结果表明：所提出的MPPT方法在局部阴影条件下能有效跟踪到光伏阵列的最大功率点,不仅具有较快的跟踪速度,且跟踪精度达到99.1%。

Abstract

According to the nonlinear multi-peak P-V output characteristics of PV arrays under partial shading conditions, a maximum power point tracking (MPPT) control algorithm based on modified gray wolf optimization algorithm is proposed. The proposed algorithm replaces the linear convergence factor in the traditional gray wolf optimization algorithm with a nonlinear convergence factor, which improves its dynamic performance. Experimental results show that the proposed MPPT algorithm can effectively track the maximum power point of the photovoltaic array under partial shading conditions. It not only has a faster tracking speed, but also has a tracking accuracy of 99.1%.

导出引用

毛明轩, 许钊, 崔立闯, 朱立尧, 郭珂, 周林. 基于改进灰狼优化算法的光伏阵列多峰MPPT研究[J]. 太阳能学报. 2023, 44(3): 450-456 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1261

Mao Mingxuan, Xu Zhao, Cui Lichuang, Zhu Liyao, Guo Ke, Zhou Lin. RESEARCH ON MULTI-PEAK MPPT OF PHOTOVOLTAIC ARRAY BASED ON MODIFIED GRAY WOLF OPTIMIZATION ALGORITHM[J]. Acta Energiae Solaris Sinica. 2023, 44(3): 450-456 https://doi.org/10.19912/j.0254-0096.tynxb.2021-1261

中图分类号： TK513.5

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