Varying solar radiation on photovoltaic (PV) panels reduces the PV system's output and increases the mismatch losses. Several techniques have been proposed to solve the mismatch problem, for example, the reconfiguration technique of PV panels. Most of the reconfiguration techniques have been proposed for small systems because of the difficulty in applying to large systems as a large number of switches are required for such applications. In this paper, a new technique based on total-cross-tied (TCT) in two reconfigurable stages is proposed. In the first stage, the shading over the PV plant is dispersed by switching between arrays. In the second stage, the shade dispersion from the first stage is increased by optimizing between the columns. The number of switches and sensors were reduced by using genetic algorithm, thus reducing the system cost. To demonstrate the proposed new reconfiguration technique, four shaded cases were simulated and tested using MATLAB/SIMULINK. A comprehensive analysis of power–voltage (P–V) curves and row currents calculation was performed, for TCT configuration and the proposed new reconfiguration technique. Also, a comparative study on performance analysis, energy-saving, and income generation was carried out for each shading case. The comparative study of the four cases shows that the reconfiguration techniques proposed in two stages generate more power under partial shading conditions than TCT. Further research is needed to ensure the practicality of the switches needed to realize this technique.

中文翻译：

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基于两个可重构阶段的局部遮光条件下大型光伏电站的优化动态重构

光伏 (PV) 面板上变化的太阳辐射会降低光伏系统的输出并增加失配损失。已经提出了几种技术来解决失配问题，例如光伏电池板的重新配置技术。大多数重构技术是针对小型系统提出的，因为此类应用需要大量开关，因此难以应用于大型系统。在本文中，提出了一种基于两个可重构阶段的总交叉绑定（TCT）的新技术。在第一阶段，通过在阵列之间切换来分散光伏电站上的阴影。在第二阶段，通过优化柱间来增加第一阶段的色度分散。通过使用遗传算法减少了开关和传感器的数量，从而降低了系统成本。为了演示所提出的新重新配置技术，使用 MATLAB/SIMULINK 对四种阴影情况进行了模拟和测试。电源电压综合分析（P-V ) 曲线和行电流计算被执行，用于 TCT 配置和提出的新的重新配置技术。此外，还对每个遮阳案例进行了性能分析、节能和创收的比较研究。四种情况的对比研究表明，在部分遮蔽条件下，两阶​​段提出的重构技术比 TCT 产生更多的功率。需要进一步研究以确保实现该技术所需的开关的实用性。