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

Mao Mingxuan; Xu Zhao; Cui Lichuang; Zhu Liyao; Guo Ke; Zhou Lin

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

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (3) : 450-456. DOI: 10.19912/j.0254-0096.tynxb.2021-1261

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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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%.

Key words

maximum power point trackers / solar cells / nonlinear control systems / PV arrays / modified gray wolf optimization (MGWO)

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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

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