Abstract: Based on grid connected PV system model,this paper determined the parameters to be identified by analyzing the structure of inverter controller.A parameter identification method for PV grid connected inverter based on Genetic Particle Swarm Optimization（GAPSO） algorithm was proposed to identify the control parameters synchronously.Meanwhile,Genetic algorithm and particle swarm optimization were used to compare with the results of this paper,and the superiority of GAPSO parameter optimization model in identification precision and convergence speed was confirmed.Finally,we evaluated the generalization ability of the parameter identification model.The simulation curves and measured curves under three different disturbances were compared,which verified the applicability and accuracy of the model.