Aiming at the problem of power supply performance degradation caused by unreasonable distributed power (DG) planning in the distribution network, a two-stage planning and configuration method for the distribution network under wind-solar-storage access is proposed. In the first stage, the location and capacity of the wind-solar power supply are determined by calculating the node active power loss sensitivity. In the second stage, the multi-objective planning model is established with the minimum energy storage access capacity, the largest system voltage stability index, and the smallest load shortage rate. At the same time, the energy storage charge / discharge is managed in conjunction with the node's average equivalent load. In order to improve the solution accuracy of the second-stage multi-objective problem, a hybrid intelligent solution algorithm based on multi-objective particle swarm optimization algorithm is proposed to solve the second-stage model. Finally, the ordinal preference method (TOPSIS) is used to select the optimal energy storage solution. In order to verify the effectiveness of the proposed method, four scenarios were set up on the IEEE-33 node system for simulation testing. The results show that the proposed method can significantly improve the operation of the distribution network and provide reference and reference for related planning and configuration.