Maximum power point tracking of photovoltaic array in partial shading condition based on improved Gray Wolf optimization algorithm

The partial shading condition (PSC) makes it challenging for the PV system to find the maximum power point. In this paper, an improved gray wolf algorithm (GWO) is proposed by introducing elimination mechanism, greedy mechanism and adjusting the convergence factor which overcomes the contradiction between global exploration ability and convergence time. Under fast varying irradiance and PSC, IGWO has been compared with GWO, particle swarm optimization (PSO), and adaptive particle swarm optimization (APSO), the results shows the superiority of IGWO in the MPPTs of the PV system.