Reasonable planning of charging stations enables to greatly reduce the reactive effect of its construction to the power system, and promote the large-scale application of the electric vehicle and its industry development. In this paper, charging demand is determined by Origin-destination (OD) analysis, and the candidate configuration solutions are derived with charging reliability satisfied. A Multi-objective Optimization (MOO) model of charging stations is established with consideration of the voltage stability and the service quality. To determine the appropriate weights for the MOO functions, the super-efficiency data envelopment analysis is adopted to convert the MOO problem into a single one that is solved by a dynamic adaptive particle swarm optimization. Finally, numerical simulation based on a planned area combined with the IEEE 33 system has been carried out and the corresponding results verify the effectiveness of the proposed method. This work is supported by National Natural Science Foundation of China (No. 51607105).