Comparison between the incremental conductivity and grey-wolf method for MPPT in photovoltaic system under irregular shadow conditions

Shade significantly reduces the efficiency of a photovoltaic (PV) system, resulting in power loss and lower output. Energy from solar panels can be maximized by using MPPT algorithms to maximize power points, minimize shading's negative effects, and enhance power collection. This article compares two MPPT techniques, Incremental Conductivity (INC) and Grey Wolf Optimization (GWO), under shaded conditions with uniform and uneven irradiance and temperature variation. To demonstrate the practical application of MPPT techniques, a configuration of photovoltaic panels connected in a series under shade is described. In addition, the study examines the effectiveness of these algorithms in maintaining accurate maximum power point tracking as well as their adaptability to changing environmental conditions. Based on the results of our study, it can be concluded that the GWO algorithm outperforms the INC algorithm in precisely tracking the maximum power point over a diverse range of environmental variables, such as shadow, irradiance, and temperature, among others.