Purpose

Partial shading causes significant power decreases in the PV systems. The purpose of this paper is to address this problem, connectivity regulation is designed to reduce partial shading problems.

Design/methodology/approach

In this approach, the partial shading was estimated and dispersed evenly on the whole array by global shade dispersion technique (GSD). The grey wolf algorithm was implemented for the interconnection of arrays by an efficient switching matrix.

Findings

After the implementation of the GSD technique using a grey wolf algorithm, the performance under different shading conditions was analyzed using the MatLab simulation tool. The results were compared with total cross-tied (TCT), Su Do Ku and the proposed method of reconfiguration, where the proposed method improves the maximum power of the PV system appropriately.

Research limitations/implications

This methodology uses any size of PV systems.

Social implications

Replacement of conventional energy systems with renewable energy systems such as solar helps the environment clean and green.

Originality/value

The GSD interconnection scheme using the grey wolf optimization algorithm has proved an improved output performance compared with the existing TCT and Sudoku based reconfiguration techniques. By comparing with existing techniques in literature, the proposed method is more advantageous for reducing mismatch losses between the modules of any size of the PV array with less operating time.

中文翻译：

---

基于全局阴影色散的局部阴影条件下灰狼优化算法提取最大功率的新型光伏阵列互联方案

目的

部分遮蔽会导致光伏系统的功率显着下降。本文的目的就是为了解决这个问题，连通性调节旨在减少部分阴影问题。

设计/方法/方法

在这种方法中，局部阴影被估计并通过全局阴影分散技术（GSD）均匀地分散在整个阵列上。灰狼算法是通过有效的切换矩阵实现阵列互连的。

发现

在使用灰狼算法实现 GSD 技术后，使用 MatLab 仿真工具分析了不同着色条件下的性能。结果与总交叉连接（TCT）、Su Do Ku和提出的重构方法进行了比较，其中提出的方法适当地提高了光伏系统的最大功率。

研究限制/影响

该方法使用任何规模的光伏系统。

社会影响

用太阳能等可再生能源系统取代传统能源系统有助于环境清洁和绿色。

原创性/价值

与现有的基于 TCT 和数独的重新配置技术相比，使用灰狼优化算法的 GSD 互连方案已证明具有改进的输出性能。通过与文献中的现有技术相比，所提出的方法更有利于以更短的运行时间减少任何尺寸的光伏阵列组件之间的失配损失。