Border Collie Optimization-Based Magic Square Array Reconfiguration to Enhance Power Generation in Solar PV system

The variability of atmospheric and meteorological factors presents a significant challenge in achieving maximum power extraction in solar photovoltaicbased power plants. To address this issue, the concept of array reconfiguration is employed, aiming to mitigate the adverse effects of partial shading and the occurrence of multiple peaks in P-V and I-V characteristics. The research incorporates partial shading caused by cloud movement, utilizing cloud velocity and wind direction to create diverse shading conditions. The primary objective is to minimize power losses during partial shading by employing a nature-inspired optimization approach to reconfigure the array for different types of shading conditions. This paper proposes a configuration called Magic Square-based Border Collie Optimization (MSBCO) to enhance power generation, and its performance is compared with standard and hybrid topologies, specifically Total Cross-Tied and SuDoKu. Performance indicators such as fill factor, performance ratio, power enhancement, and power loss are used for the comparison, revealing that the proposed MSBCO configuration outperforms the other topologies with the least power loss and a high fill factor.