Current Balancing and PSO Methods-Based PV Array Output Power Optimization: A Comparative Study

Abdelouadoud Loukriz, M. Drif, A. Bouchelaghem, D. Saigaa, Ahmed Bendib, Kichene Moadh
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Abstract

The phenomenon of mismatch between the modules constituting a photovoltaic (PV) array is one of the problems that frequently occur in PV systems, in particular, the shading issue, which may result in less energy production. To deal with this issue, various configuration methods have been adopted in the literature. However, these configuration methods are suffering from implementation complexity in practice, such as more wiring, more sensors, the need to have more processing, and more memory use. In the present paper, a comparative study between the current balancing (CB) and particle swarm optimization (PSO)-based PV reconfiguration methods is carried out using MATLAB/Simulink software. The reached findings under varying partial shading conditions (PSCs) are investigated to determine the best approach among them.
基于电流平衡和粒子群算法的光伏阵列输出功率优化比较研究
组成光伏阵列的组件之间的不匹配现象是光伏系统中经常出现的问题之一,特别是遮阳问题,这可能导致发电量减少。为了解决这个问题,文献中采用了各种配置方法。然而,这些配置方法在实践中受到实现复杂性的困扰,例如更多的布线、更多的传感器、需要更多的处理和更多的内存使用。本文利用MATLAB/Simulink软件对基于电流平衡(CB)和粒子群优化(PSO)的光伏重构方法进行了对比研究。在不同的部分遮阳条件下(PSCs)得出的结果进行了研究,以确定其中的最佳方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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