关键词: 光伏发电, 最大功率点追踪, 局部遮阴, 变异粒子群算法

Abstract: For the problem of partial shading condition（PSC）, there will be multi-peaks phenomenon in the output P-U curve of photovoltaic array, and the traditional maximum power point tracking（MPPT） algorithm can easily fall into local optimal solution and cannot track down the global optimal solution. Based on the above, a photovoltaic MPPT control method based on adaptive mutation particle swarm optimization is proposed in this paper. The learning factors and inertia weights are adjusted synchronously during particle swarm optimization in order to improve the convergence speed and accuracy of the algorithm. At the same time, the mutation mechanism is introduced to expand the particle search range and enhance the global optimization of the algorithm. Simulation results show that the algorithm can quickly and accurately track the maximum power point under uniform illumination, static and dynamic partial shading conditions, with faster convergence and higher steady-state accuracy than the standard particle swarm optimization.

Key words: PV power, maximum power point tracking, partial shading, mutation particle swarm optimization