最大功率点追踪, 金枪鱼群算法, 扰动观察法, 局部遮阴

In order to solve the problem that the output curve of photovoltaic array in the face of local shading can not be traced to the maximum power point, and it is easy to fall into the local optimal, a composite control strategy based on improved tuna swarm algorithm and improved disturbance observation method is proposed. First, targeted initialization of the tuna swarm algorithm is carried out, and the population crossing strategy is modified to speed up the search in the early stage. When approaching the maximum power point, the variable step perturbation observation method is used to carry out the final local optimization. The simulation results show that compared to the single tuna swarm algorithm, the compound cuckoo algorithm and the gray wolf algorithm, the tracking speed and accuracy are improved effectively, and the system is more stable.

maximum power point tracking, tuna swarm optimization, perturbation observation method, partial shading