Application of Composite Control Algorithm in Photovoltaic MPPT

Aiming at the problem that traditional single peak MPPT cannot track the maximum power point under complex illumination conditions, a composite algorithm based on improved particle swarm optimization and sliding mode layer extremum seeking is proposed. First, the probability criterion in simulated annealing algorithm is improved and added to particle swarm optimization algorithm ; improving the change law of inertia weight ; the disturbance parameters are added to the learning factor, and then the sliding mode extremum search algorithm is used to continue to optimize the suspected optimal value obtained by the particle swarm algorithm, and finally the maximum power point is found. The simulation results show that the composite control algorithm can quickly search the maximum power point under complex illumination conditions. Compared with other algorithms, the tracking speed and tracking accuracy are significantly improved.