考虑绕行特征的电动汽车快速充电站选址问题及自适应遗传算法

被引:19
作者
陆坚毅
杨超
揭婉晨
机构
[1] 华中科技大学管理学院
关键词
电动汽车; 快速充电站选址问题; 绕行成本; 自适应遗传算法; A*算法;
D O I
暂无
中图分类号
U491.8 [路侧服务设施]; TP18 [人工智能理论];
学科分类号
082302 ; 082303 ; 081104 ; 0812 ; 0835 ; 1405 ;
摘要
快速充电站选址是电动汽车运营的重要内容之一。本文考虑电动汽车用户会通过绕行一定距离对车辆进行充电这一特征,建立了一个以电动汽车快速充电站建站成本和旅客整体绕行成本之和最小的双层整数规划模型。本文首先给出了用于生成绕行路径集合的A*算法,然后设计了一种包含局部迭代搜索的自适应遗传算法对该模型进行求解。为了测试算法性能,通过两个不同规模的算例图与已有求解FPLM问题的遗传算法进行了比较,数值试验部分证明了算法的正确性和有效性。最后引入浙江省的高速路网图,从建站成本和截流量两方面对电池续航里程带来的影响进行了相关的灵敏度分析。
引用
收藏
页码:8 / 17
页数:10
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