引用本文:胡方霞,谷飞强,周念成.计及订单热力分布和充换电节点成本差异的电动网约车充换电路径最优规划方法[J].电力自动化设备,2020,40(5):
HU Fangxia,GU Feiqiang,ZHOU Niancheng.Optimal planning method of charging and swapping route for online electric vehicle-hailing considering thermal distribution of orders and cost difference of charging and swapping node[J].Electric Power Automation Equipment,2020,40(5):
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 4250次   下载 1969  
计及订单热力分布和充换电节点成本差异的电动网约车充换电路径最优规划方法
胡方霞1, 谷飞强2, 周念成2
1.重庆工商职业学院 电子信息工程学院,重庆 400052;2.重庆大学 输配电装备及系统安全与新技术国家重点实验室,重庆 400044
摘要:
提出一种计及订单热力分布和充换电节点成本差异的电动网约车充换电路径最优规划方法。对电动网约车充换电路径的影响因素进行分析,建立了“电动网约车-充换电节点-交通路网-配电网”模型,提出电动网约车的充换电最优路径优化方法。所提方法充分考虑订单热力分布对充换电路径导航的影响,以电动网约车综合成本最小进行自动优选,可得到实际电动网约车的最佳充换电路径以及对应的最小充换电成本。通过某实际电动网约车进行充换电路径导航的经济成本、时间成本对比分析,验证了所提方法的有效性。
关键词:  电动网约车  订单热力分布  充换电节点成本  充换电路径  最优规划
DOI:10.16081/j.epae.202005029
分类号:U469.72
基金项目:重庆市教委科学技术研究项目(KJZD-K201804001)
Optimal planning method of charging and swapping route for online electric vehicle-hailing considering thermal distribution of orders and cost difference of charging and swapping node
HU Fangxia1, GU Feiqiang2, ZHOU Niancheng2
1.School of Electronic Information Engineering, Chongqing Technology & Business Institute, Chongqing 400052, China;2.State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China
Abstract:
An optimal planning method of charging and swapping route for online electric vehicle-hailing considering thermal distribution of orders and cost difference of charging and swapping node is proposed. The influence factors of charging and swapping route for online electric vehicle-hailing are analyzed, the model of online electric vehicle-hailing-charging and swapping node-traffic network-distribution network is established, and then the optimization method of charging and swapping route for online electric vehicle-hailing is proposed. The influence of thermal distribution of orders on the charging and swapping route navigation is fully considered. The optimal charging and swapping route and the corresponding minimum charging and swapping cost can be obtained by automatic optimization with the minimum comprehensive cost of online electric vehicle-hailing. The effectiveness of the proposed method is verified by comparing and analyzing the economic cost and time cost of charging and swapping route navigation of a practical online electric vehicle-hailing.
Key words:  online electric vehicle-hailing  thermal distribution of orders  cost of charging and swapping node  charging and swapping route  optimal planning

用微信扫一扫

用微信扫一扫