Aiming at the problem of degraded power supply performance caused by unreasonable distributed power (DG) planning in distribution network, a two-stage planning and configuration method for the distribution network under wind-solar-storage access is proposed in this paper. 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. Meanwhile, the energy storage charge/discharge is managed in conjunction with the average equivalent load of node. 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 is proposed to solve the second-stage model. Finally, the optimal number of energy storage is selected by the TOPSIS method into the program. Four scenarios are set 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 for related planning and configuration.