Scheduling Optimization Method for Charging Piles in Electric Vehicle Charging Stations Based on Mixed Integer Linear Programming

For electric vehicles (EV s) choosing the same target charging station, appropriate guidance for them to choose the appropriate charging pile for charging will help reduce the charging waiting time of EV users and increase the utilization rate of charging piles. In this context, a scheduling optimization method for charging piles in EV charging stations is based on Mixed Integer Linear Programming (MILP). Firstly, the arrival time and charging demand of EV s choosing the same target charging station during the same scheduling optimization period, time are collected; Secondly, a scheduling optimization method is constructed with the goal of minimizing the charging waiting time of EV users and maximizing the utilization rate of charging piles, in which the non-linear constraints are transformed into linear constraints by using the method of MILP; Finally, the validity and feasibility of the proposed scheduling optimization method are verified through practical examples to illustrate the basic features of the proposed method. The results of the analyses show that the proposed method can not only save the time cost of EV users waiting for charging, but also effectively take into account the utilization rate of charging piles.