Abstract: Aiming at the problem that distributed photovoltaic power generation systems are widely connected to the distribution network,resulting in low power flow calculation speed and accuracy,this paper proposes a parameter identification model of photovoltaic power generation system load models based on chaotic seagull optimization algorithm. First,the load model of the equivalent photovoltaic power generation system is connected to the virtual bus of the comprehensive load model to establish a generalized load model of the distribution network;then,an optimization algorithm combining chaos optimization and seagull optimization is proposed,based on this algorithm Complete the equivalence of the distribution network,and on this basis,carry out the parameter identification of the comprehensive load model including photovoltaic power generation. Finally,simulations show that the proposed algorithm is superior to traditional particle swarm optimization and single seagull optimization in terms of calculation accuracy and convergence speed,and can be applied to load model parameter optimization.