摘要
电动汽车充电站属于电动汽车重要的配套设施,充电站的布局规划对电动汽车的推广有重要意义。提出了区域内车辆流量守恒原理,将区域内的电动汽车数量视为恒定,对电动汽车的总量以及分布进行预测。提出了电动汽车充电站的年最小年综合费用模型,以某城市小区为例,采用粒子群遗传算法对模型进行求解。计算结果表明,基于粒子群遗传算法的电动汽车充电站的布局划具有全局最优、适应性强、经济性好、简单实用等优点。
The charging station of electrical vehicle is the important infrastructure for electrical vehicle,therefore,the layout of electric vehicle charging stations is especially important.The conservation theory of regional traffic flow is presented,which takes electric vehicles within the district as constant.The total amount and distribution of electric vehicles are forecasted and charging station minimum comprehensive cost model of the year is proposed,and then,the particle swarm genetic algorithm（PSGA） is applied to find the solutions of the instance in the paper.The result shows that layout planning of electrical vehicle charging stations based on particle swarm genetic algorithm is globally optimal,highly adaptable,simple,economical and practical.
出处
《陕西电力》
2014年第4期65-69,共5页
Shanxi Electric Power
关键词
电动汽车
充电站
布局规划
粒子群遗传算法
electrical vehicle
charging stations
layout planning
particle swarm genetic algorithm
