基于粒子群算法加权的Voronoi图电动汽车充网络优化规划

Weighted Voronoi Diagram Electric Vehicle Charging Network Optimization Planning Based on Particle Swarm Optimization

对于电动汽车充电站选址规划问题,本文提出一种基于粒子群算法的加权Voronoi图充电站规划方法,根据充电站建设费用、充电区域及充电负荷等为基础,进行粒子群算法加权,进而通过加权后的Voronoi图进行充电汽车的充电站规划,在充电站数量和容量组合确定的情况下,通过实例计算对充电站的位置进行规划和布局。

For the planning of electric vehicle charging station location,this paper proposes a weighted Voronoi diagram charging station planning method based on particle swarm optimization algorithm.Based on charging station construction cost,charging area and charging load,etc.Then,the charging vehicle planning of the charging vehicle is carried out through the weighted Voronoi diagram,and the location of the charging station is planned and laid out by example calculations when the number of charging stations and the capacity combination are determined.