Abstract: The maximum power point tracking (MPPT) algorithm was invalid because the power characteristic curve of the photovoltaic array under partial shading condition was changed from a single peak curve to an overlapping peak curve, and other intelligent algorithms (such as particle swarm optimization (PSO) algorithm) had the disadvantages of more parameters, slow convergence speed and large amplitude of oscillation in the tracking process. The grey wolf optimization (GWO) algorithm with fast convergence speed and high precision was applied to multipeak MPPT algorithm of photovoltaic array. Firstly, a mathem
atical model of photovoltaic array under partial occlusion was established. Secondly, the principle of MPPT algorithm based on GWO algorithm was analyzed. Simulation results show that the GWO algorithm can track the maximum power point quickly, the tracking speed of the GWO algorithm is 1 times higher than that of the PSO algorithm, and the tracking efficiency is improved by 0.1%.

Key words: grey wolf optimization (GWO) algorithm, maximum power , point tracking (MPPT), partial shadow, photovoltaic array