Modified artificial wolf pack method for maximum power point tracking under partial shading condition

摘要

Photovoltaic power generation systems operate at maximum power point to maximize the use of solar energy. MPP tracking (MPPT) is usually attained using several traditional methods. But during partial shading conditions, a PV panel shows multiple peaks in power versus voltage curve and traditional methods do not always promise to make operate PV panel at true MPP. This paper introduces modified artificial wolf pack (MAWP) algorithm for global maximum power point (GMPP) tracking under various conditions. The problem formulation, application of MAWP and the results are analyzed in this paper. The proposed method has been simulated on MATLAB/SIMULINK for one PV configuration under one shading pattern. The results have been compared with artificial bee colony (ABC) and particle swarm optimization (PSO) method which suggests that the proposed method is best amongst all MPPT alternatives.