Aiming at the problem that the P-U curve of photovoltaic array presents multiple peaks in complex shading environment, which causes the traditional maximum power point tracking （MPPT） algorithm to fall into the local optimal solution, a new control algorithm model, LGPSO_P&O model, is proposed. The model combines Levy flight, Gaussian variation strategy and particle swarm algorithm, and improves the inertial weights of particle swarm algorithm to construct the LGPSO algorithm to search for global maximum power points （MPP）. At the same time, the disturbance observation method （P&O） is improved to track MPP locally to further improve the tracking accuracy. Simulation experiments are carried out in MATLAB/Simulink, and compared with improved PSO, BPSHO and GA_ACO algorithms, the simulation results show that the model has high robustness, fast convergence speed, high tracking accuracy, up to 99.8%.
Key words
PV arrays /
partial shaded /
MPPT /
particle swarm optimization /
Levy flight /
variable step size perturbation observation method
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