复杂光照条件下光伏阵列的THW-GWO-P&amp;O复合MPPT控制

顾吉鹏; 王舒宜; 汪斌杰; 张有兵; 张志明; 沈成宇

doi:doi:10.19912/j.0254-0096.tynxb.2024-1662

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复杂光照条件下光伏阵列的THW-GWO-P&O复合MPPT控制

更新时间：2026-02-06

- 复杂光照条件下光伏阵列的THW-GWO-P&O复合MPPT控制
- 复杂光照条件下光伏阵列的THW-GWO-P&O复合MPPT控制
- 太阳能学报 2026年47卷第1期页码：116-126
- 作者机构：
- 作者简介：
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- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1662
  中图分类号： TM615
- 网络首发：2026-02-05，
  
  纸质出版：2026-02-05
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顾吉鹏, 王舒宜, 汪斌杰, 等. 复杂光照条件下光伏阵列的THW-GWO-P&O复合MPPT控制[J]. 太阳能学报, 2026,47(1):116-126.

顾吉鹏, 王舒宜, 汪斌杰, et al. 复杂光照条件下光伏阵列的THW-GWO-P&O复合MPPT控制[J]. 2026, 47(1): 116-126.
顾吉鹏, 王舒宜, 汪斌杰, 等. 复杂光照条件下光伏阵列的THW-GWO-P&O复合MPPT控制[J]. 太阳能学报, 2026,47(1):116-126. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1662.

顾吉鹏, 王舒宜, 汪斌杰, et al. 复杂光照条件下光伏阵列的THW-GWO-P&O复合MPPT控制[J]. 2026, 47(1): 116-126. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1662.

摘要

提出一种由双狼牵头改进的灰狼算法（THW-GWO）与扰动观察法（P&O）相结合的最大功率点跟踪（MPPT）控制方法

用以提升光伏阵列的能源利用率。首先

对光伏阵列在复杂光照下的发电原理及MPPT控制原理进行深入分析

从理论的角度说明P&O跟踪效率较低的原因。其次

将GWO与P&O结合用于提升光伏阵列MPPT控制的跟踪效率。同时为了在GWO收敛速度、寻找局部最优解等方面达到更好的效果

在GWO的收敛因子、加权距离和位置更新权重方面做出自适应调整

即THW-GWO。最后

通过Matlab/Simulink仿真平台对光伏阵列在P&O、GWO、THW-GWO、THW-GWO-P&O 4种MPPT方法下的控制效果进行对比分析

结果表明THW-GWO-P&O在均匀光照和局部遮阴条件下均展现了更高的能量转换效率、寻优精度和收敛速度

验证THW-GWO-P&O具有更好的寻优性能。

Abstract

A maximum power point tracking （MPPT） control method combining the twin-wolf-driven gray wolf optimization （THW-GWO） with perturbation and observation （P&O） is proposed to enhance the energy utilization efficiency of photovoltaic arrays. First

an in-depth analysis is conducted on the power generation principles of photovoltaic arrays under complex illumination conditions and the MPPT control principles

theoretically explaining the reasons for the relatively low tracking efficiency of P&O. Second

GWO and P&O are integrated to improve the tracking efficiency of MPPT control for photovoltaic arrays. To achieve better performance in terms of GWO convergence speed and local optimal solution search

adaptive adjustments are made to the convergence factor

weighted distance

and position update weight of GWO

resulting in THW-GWO. Finally

the control performance of photovoltaic arrays under P&O

GWO

THW-GWO

and THW-GWO-P&O is compared and analyzed in Matlab/Simulink. Results demonstrate that THW-GWO-P&O achieves higher energy conversion efficiency

optimization accuracy

and convergence speed under both uniform illumination and partial shading conditions

validating its superior optimization performance.

关键词

Keywords

references

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复杂光照条件下光伏阵列的THW-GWO-P&O复合MPPT控制

DOI：doi:10.19912/j.0254-0096.tynxb.2024-1662

摘要

Abstract

关键词

Keywords

references