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Electric vehicle charging station planning based on weighted Voronoi diagram

机译:基于加权Voronoi图的电动汽车充电站规划

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This paper comprehensively analyzes several factors that influence the charging station planning for electric vehicles, and then an income optimization model of charging station planning for electric vehicles is built. In order to get the capacity requirements of the charging station in the planning area, the electric vehicles' power demand is calculated based on the charging characteristics and trip characteristics of electric vehicles. The weighting coefficient of weighted Voronoi diagram is adjusted to make the service areas divided more reasonably and the load rate more balanced based on the distribution of electric vehicles. Combining the global searching ability of the particle swarm optimization and weighted Voronoi diagram, one model of charging station planning for electric vehicles is used to optimize the locations and service areas simultaneously. By calculating with an example, the test results indicate that the model is effective and the method is feasible.
机译:本文综合分析了影响电动汽车充电站规划的几个因素,然后建立了电动汽车充电站规划的收益优化模型。为了获得规划区域内充电站的容量需求,根据电动汽车的充电特性和行程特性计算出电动汽车的电力需求。根据电动汽车的分布情况,调整加权Voronoi图的加权系数,以使服务区域更合理地划分,负荷率更加均衡。结合粒子群算法的全局搜索能力和加权Voronoi图,使用一种电动汽车充电站规划模型来同时优化位置和服务区域。通过实例计算,测试结果表明该模型有效,方法可行。

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