Fine-Combination-Based Adaptive Reconfiguration for PV Arrays Under Graded Non-Uniform Shading Conditions
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Partial shading conditions negatively affect the operation of solar energy systems. In this research, advanced methods were used to reconfigure solar panels to reduce energy losses in photovoltaic (PV) arrays due to unavoidable irregular partial shading caused by clouds, dust, and other factors. To solve this problem, the interconnections between the panels can be dynamically changed to mitigate the negative effects of partial shading. This means that the system can reconfigure the connections so that the panels exposed to more sunlight are connected together, which minimizes energy losses caused by shading. In this paper, we address the electrical mismatch losses caused by traditional hard-threshold-based reconfiguration methods. We introduce a fine-combination adaptive technique that continuously optimizes electrical connections based on real-time shading patterns. The tests under diverse shading conditions show that he proposed technique reduces mismatch losses and improves power extraction by up to 62.5 % validated by experimental tests.
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