随着电动汽车保有量不断上升, 其相关配套设施也面临巨大挑战, 不合理的充电资源分配在充电高峰期会造成部分充电站过度拥挤, 并且影响电网稳定运行. 提出一种考虑多目标优化的调度模型, 通过分析充电站内不同充电选项的排队时间, 并根据排队率和分时电价提出一种动态定价模型, 影响车主充电行为, 结合动态定价模型与充电需求计算充电成本, 考虑基于起讫点的充电总路径行驶时间, 以总成本最少为优化目标, 基于DEB-ABC算法进行求解. 在某区域内对
With the increasing number of electric vehicles (EVs), the related supporting facilities are also facing great challenges. Unreasonable charging resource allocation will cause overcrowding at some charging stations during the peak charging period and affect the stable operation of power grids. A scheduling model considering multi-objective optimization is proposed. Upon the analysis of the queuing time of different charging options at the charging stations, a dynamic pricing model considering the queuing rate and time-of-use tariff is presented to affect the charging behavior of EV owners. The charging cost is calculated with the dynamic pricing model and the charging demand. Considering the travel time of the total charging path based on the starting and ending points, the optimization objective is to minimize the total cost, which is solved by the DEB-ABC algorithm. The simulations of 1 500 EVs in a certain area indicate that the proposed optimal scheduling model can reduce the waiting time for charging, charging costs, and total driving time and improve the utilization of charging stations in the area.