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电动汽车产业推进依赖于其充电网络,设计了电动汽车充电网络的两阶段规划模型,模型第一阶段运用伏罗诺伊图,根据充电站数目以全体充电站服务半径之和最大对充电站进行选址。模型第二阶段基于全寿命周期成本理论,考虑规划过程中的不确定性因素,建立了计及用户便利度修正因子的充电网络定容模型。定容模型在第一阶段选址基础上,通过充电负荷转移效应确定充电负荷需求,以最小全寿命周期成本为目标,规划定容结果。最后,运用将莱维飞行与传统粒子群算法相结合的混合搜索算法对上述规划模型进行求解,通过规划实例验证了所提模型的有效性。
The electric vehicle industry relies on its charging network to design a two-phase planning model for the charging network of electric vehicles. The first stage of the model uses the Voronoi diagram. Based on the number of charging stations and the service radius of all the charging stations, Site selection. The second stage of the model is based on the life cycle cost theory. Considering the uncertainties in the planning process, a fixed-volume model of charging network that accounts for the user convenience correction factor is established. Based on the site selection in the first stage, the fixed-capacity model determines the charging load demand through the charge-load transfer effect, and takes the minimum full-life-cycle cost as the goal to plan the fixed-volume result. Finally, a hybrid search algorithm that combines Levi’s flight with the traditional particle swarm optimization algorithm is used to solve the above planning model, and the validity of the proposed model is verified through planning examples.