Abstract：To cope with the impact of electric vehicle（EV）charging loads on the power grid and achieve a

balance of interests between the power grid，charging station and users，a customized charging strategy for EVs that takes dynamic electricity prices into consideration was proposed. Initially，the dynamic pricing mechanism was

designed for charging station based on the needs of tripartite interests. Then，the optimization model with the lowest user charging cost and the lowest load fluctuation rate of power grid had been established to perfect the charging process of EV. Moreover，on the basis of the traditional artificial bee colony（ABC）algorithm，the adaptive normal attenuation coefficient was introduced to form the adaptive ABC algorithm and it was applied to solve the optimization model in order to obtain the customized ordered charging scheme. Furthermore，the charging process of each EV was optimized by combining the dynamic electricity pricing mechanism and EV customized charging method. Finally，based on Monte Carlo method，the charging situation of different number of electric vehicles under different charging modes was simulated. The simulation results show that the proposed method can significantly improve the load index of the power grid，ensure the revenue of charging station，reduce the charging costs of users，and achieve an all-win benefits between power grid，charging station and users.

      Key words：electric vehicle（EV）；orderly charging；adaptive artificial bee colony（ABC）algorithm；dynamic

electricity price；charging optimization