دانلود ترجمه مقاله بازآرایی مبتنی بر بهینه سازی خدنگ کوتوله برای بهبود تولید توان در فتوولتائیک

Photovoltaic (PV) systems are highly vulnerable to partial shading, leading to reduced power output, distorted power curves, losses, hotspots, and potential module damage, negatively affecting overall system performance. Various techniques are proposed to boost the performance of arrays during partial shading, among which array reconfiguration is the most efficient. However, most of the existing architectures exhibit limitations in restricted applicability, insufficient shade dispersion, higher component counts, complexity, and slow convergence. Hence, this paper proposes a fast and low-complex approach for power generation enhancement in partially shaded arrays to solve these constraints. The proposed approach adopts the reconfiguration concept with reduced switch counts and utilizes a faster algorithm based on dwarf mongoose optimization to minimize losses from the arrays operating under partial shading. The proposed approach has been rigorously tested on 2 × 3 and 3 × 3 arrays under numerous artificial shading conditions in simulation and experimental platforms. The proposed approach is also tested under dynamically changing shading conditions for a 9 × 9 array using time-domain analysis. The performance of the proposed approach is validated by testing it with conventional and fourteen existing techniques under partial shading. The investigation revealed that the average power enhancement in the proposed approach ranged from 8 to 30.43 %, with an efficiency of 98.8 %.