MPPT Algorithm Based on Improved PSO and Fuzzy Algorithm

Under complex illumination conditions, photovoltaic cells in photovoltaic arrays will be occluded to varying degrees, and their overall output presents multi-peak characteristics. At this time, the traditional maximum power point tracking technology often falls into local maximum power point because it cannot achieve global judgment. Particle swarm optimization (PSO) can achieve global maximum power point search, but it’s tracking speed and environmental adaptability is not ideal. In order to solve this problem, this paper proposes a MPPT method which combines improved PSO algorithm with fuzzy algorithm. This method improves the speed and environmental adaptability of the algorithm by improving the motion mode of the optimal particle in the PSO algorithm based on the use of the fuzzy algorithm. The simulation model is built in MATLAB, and the simulation results show the effectiveness of the method.