The control target of the current orderly charging strategy is relatively single, and cannot meet the needs of users in many aspects. Thus this paper proposes an orderly charging control strategy based on double objective hierarchical optimization. First, it establishes the overall architecture of hierarchical collaborative control between master station and energy controller. Secondly, the control of user charging cost is taken as the first level optimization objective, and the reduction of grid load fluctuation is taken as the second level objective to complete the design of double objective hierarchical optimization strategy. Last, it designs a real time control strategy to adjust the charging power of the charging pile when the load exceeds the limit. At the same time, based on the characteristics of user charging behavior, it uses the TOPSIS ranking method to determine the priority of user charging demand. This provides the basis for charging planning and scheduling of an orderly charging strategy. In this paper, the optimization strategy for orderly charging of electric vehicles has been put into operation in Zhengzhou and other districts. The design shows that the goal of cost savings and peak load shifting can be achieved, verifying the practicability and effectiveness of the charging strategy. This work is supported by the Science and Technology Project of State Grid Corporation of China “Key Techniques Research and Demonstration Application of Virtual Energy Storage and Load Control of EV Clusters Optimization” (No. 5418-202018247A-0-0-00).