Abstract: With large-scale promotion of electric vehicle（EV）,the disorderly charging of EVs poses serious threats to the safe and stable operation of the power grid,thus actively guiding EV users to participate in charging optimization strategies is of great significance. Therefore,based on the idea of charging optimization management and scheduling,an EV charging optimization guide strategy considering the reward mechanism is proposed in this paper. The reward mechanism of users for reducing grid load fluctuation is considered on the basis of time-of-use electricity prices,and the charging time and charging location of EV are determined considering EV user’s uncertain travel needs and the fixed charging locations so as to achieve the highest user satisfaction. The real-time optimization algorithm of EV dynamic response is used to solve the proposed optimal scheduling model. The simulation results have verified the effectiveness and feasibility of the proposed strategy,indicating that this optimal scheduling strategy can not only effectively ease new load peaks formed by centralized charging during low load periods,but also significantly reduce the charging cost of users and the load fluctuation of the power grid.