Under partial shading conditions, photovoltaic (PV) arrays are subjected to different irradiance levels caused by nonuniform shading. As a result, a mismatch between the modules, a reduction in the power generated, and the hotspot phenomenon will be observed. One method to reduce mismatch losses is to reconfigure the total-cross-tied (TCT) array in dynamic and static forms, where improved performance can be achieved through more efficient shading distribution thanks to increased dimensions. However, the increase in dimensions leads to the complexity of wiring and installation in static reconfiguration and the large number of switches and sensors required in dynamic reconfiguration. To rectify these problems, a two-step method is proposed in this paper. In the first step, the modules inside the PV array are divided into subarrays with wiring in static reconfiguration, rather than being wired as large-scale PV arrays. In the second step, an algorithm is developed for dynamic reconfiguration. The introduced algorithm searches for all possible connections and finally identifies the most optimal solution. As an advantage, this algorithm employs only the short-circuit current values of the subarray rows, which reduces the number of switches and sensors required in comparison to dynamic reconfiguration. Under 8 different partial shading patterns, simulations are conducted and results confirm that the proposed method outperforms the TCT array and statically modified TCT array in terms of power and mismatch losses. Among these, the highest power improvement is obtained with regard to the TCT array and statically modified TCT array under the fourth and eighth shading patterns, respectively.

中文翻译：

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使用两步最佳PV阵列重新配置，在部分阴影条件下增强功率

在部分阴影条件下，光伏（PV）阵列会受到由不均匀阴影导致的不同辐照度级别的影响。结果，将观察到模块之间的不匹配，所产生的功率的减小以及热点现象。减少失配损耗的一种方法是重新配置动态和静态形式的全交叉（TCT）阵列，由于尺寸增加，可以通过更有效的阴影分布实现更高的性能。然而，尺寸的增加导致静态重新配置中的布线和安装的复杂性以及动态重新配置中所需的大量开关和传感器。为了解决这些问题，本文提出了一种两步法。在第一步中 PV阵列内部的模块分为多个子阵列，这些子阵列通过静态重新配置进行布线，而不是像大型PV阵列那样进行布线。第二步，开发了一种用于动态重新配置的算法。引入的算法搜索所有可能的连接，并最终确定最佳解决方案。优点是，该算法仅采用子阵列行的短路电流值，与动态重新配置相比，它减少了所需的开关和传感器的数量。在8种不同的局部阴影模式下，进行了仿真，结果证实了该方法在功耗和失配损耗方面均优于TCT阵列和静态修改的TCT阵列。在这些当中，