A Metaheuristic Optimization Technique for Maximum Power Extraction in Solar Photovoltaic Systems under Partial Shading

One of the main problems with a solar photovoltaic (PV) system is the partial shading condition (PSC).This results in a significant reduction of the output power of a solar PV system.This paper mainly aims at proposing and validating a novel optimization technique namely the Genetic Algorithm (GA) for Maximum Power Point Tracking (MPPT) in case of PSC.In this study, an experimental examination utilizing a PV emulator highlights the effect of PSC on PV system performance.PSC was found to result in a 37% decrease in maximum power, a 38% decrease in fill factor, and a 60% decrease in efficiency.Metaheuristic techniques for P-V curves with several peaks can be used to track the maximum power point (MPP).GA is based on a metaheuristic methodology that has been applied to solve optimization problems in a variety of systems, such as PV systems with MPPT.With a convergence time of less than 2 ms, the suggested system can track the global MPP with 99% tracking efficiency.This demonstrates the improvement in tracking time and accuracy over traditional MPPT techniques.Additionally, the suggested system can also accomplish steady operation in dynamically changing environmental conditions and reduce the oscillations around MPP.