1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China;2. Changping Power Supply Company of State Grid Beijing Electric Power Company, Beijing 102200, China

In view of the rapid growth of electric vehicle(EV)ownership in megacities in China and the contradiction between the EV charging demand and the lower distribution network service ability, an orderly EV charging strategy based on technique for order preference by similarity to ideal solution(TOPSIS)is proposed to dispatch the available power energy resources to the utmost extent. By analyzing EV travel laws, a mathematical model is built to simulate the traveling, returning, waiting and charging process of EVs in residential areas. An orderly charging method based on TOPSIS analysis is proposed considering comprehensively the decision indicators such as charging time, charging cost, queuing time, charging completion rate, and the overall load variation rate of residential areas. The simulations further compare the impact of peak-valley price on users' charging behavior under the time-of-use price strategy. Simulation results show that, compared with the grid picking method, the proposed TOPSIS based orderly charging strategy can better consider the continuity, convenience and economy of EV charging, and provide a decision basis for the orderly charging management of EVs parking in residential areas under the premise of the high completion rate of EV charging and the stability of residential load.