Optimizing Photovoltaic Systems under Shading Conditions: A Novel Approach Leveraging Grey Wolf Optimization Algorithm

This paper presents a novel approach for Maximum Power Point Tracking (MPPT) in photovoltaic systems under shading conditions. The research introduces an evolutionary algorithm-based method leveraging Grey Wolf Optimization (GWO). The GWO algorithm, inspired by the social hierarchy and hunting behavior of grey wolves, offers a unique solution to the challenges posed by shading in PV systems. The evaluations of this approach, along with comparative analyses against traditional MPPT techniques, reveal its exceptional adaptability. Results demonstrate the algorithm's effectiveness in optimizing energy production and enhancing grid stability. The research holds significant implications for the renewable energy industry, offering a promising solution to improve the efficiency and reliability of photovoltaic systems in shaded environments.

کلیدواژه ها:

Maximum Power Point Tracking (MPPT) ، Photovoltaic Systems ، Shading Conditions ، Grey Wolf Optimization ، Renewable Energy