Shading of photo-voltaic panels is one of most common reason for power reduction in practical scenarios. This also causes multiple maximum peaks, thereby resulting in distortion of characteristic curves. In order to overcome the effect of shading, reconfiguration of panels is essential. In this work, the Chaotic Baker Map is proposed to reconfigure the panels in Solar Photo-Voltaic (SPV) Array. The Chaotic Baker Map, being an image processing technique, relocates the panels in SPV Array which is analogous to relocation of pixels within an image. The proposed approach augments the output power and minimizes the power loss by dispersing the concentrated shade throughout the array. The results of the proposed approach are compared to hitherto known configurations under wide range of shading spectrum for different sizes of SPV Array to support the effectiveness of the proposed approach.

中文翻译：

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用于减少阴影条件下功率损耗的广义混沌贝克图配置

光伏面板的阴影是实际场景中功率降低的最常见原因之一。这也会导致多个最大峰值，从而导致特性曲线失真。为了克服阴影的影响，面板的重新配置是必不可少的。在这项工作中，提出了混沌贝克地图来重新配置太阳能光伏 (SPV) 阵列中的面板。混沌贝克地图是一种图像处理技术，它重新定位 SPV 阵列中的面板，这类似于重新定位图像中的像素。所提出的方法通过在整个阵列中分散集中的阴影来增加输出功率并最小化功率损耗。