系统管理学报

系统管理学报 ›› 2024, Vol. 33 ›› Issue (4): 878-889.DOI: 10.3969/j.issn.2097-4558.2024.04.003

• 决策科学与运营管理 • 上一篇    下一篇

考虑区域资源利用均衡的电动公交充电站选址及充电路径问题

刘炳胜1,2，王朗1，陈媛1，申映华3，林英撑4   

  1. 1.天津大学管理与经济学部，天津 300072；2.河北工业大学经济管理学院，天津 300401；3.重庆大学经济与工商管理学院，重庆 400044；4.重庆大学微电子与通讯工程学院，重庆 400044
  • 收稿日期:2022-12-07 修回日期:2023-04-29 出版日期:2024-07-28 发布日期:2024-07-30
  • 基金资助:

    国家自然科学基金资助项目（72134002，72002152，72001032）；中央高校基本科研业务费（2021CD8KXYGG006）

Location-Routing Problem for Electric Bus Charging Stations Considering Balance of Regional Resource Utilization

LIU Bingsheng1,2, WANG Lang1, CHEN Yuan1, SHEN Yinghua3, LIN Yingcheng4   

  1. 1.College of Management and Economics, Tianjin University, Tianjin 300072, China; 2.School of Economics and Management, Hebei University of Technology, Tianjin 300401, China; 3.School of Economics and Business Administration, Chongqing University, Chongqing 400044, China; 4.School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China
  • Received:2022-12-07 Revised:2023-04-29 Online:2024-07-28 Published:2024-07-30

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摘要：

在新基建助推区域平衡发展和低碳双重背景下，研究电动公交充电站选址及充电路径问题，以经济效益最大化和区域资源利用均衡为目标，考虑公交司机可能充电时机以及充电需求、运营时间、利用率等约束条件建立两阶段多目标决策模型，设计多重嵌套式遗传算法求解模型，并应用于算例检验模型可行性。结果表明：仅考虑经济效益目标会产生充电“拥挤”、路途过长等弊端，而本文模型能有效缩小区域间公交充电效率差异，提高全局资源利用均衡性；通过降低充电站容量可提高充电站利用率与经济效益，但区域资源利用均衡性会减弱，且充电站容量对公交充电路途所耗费时间的作用较为敏感；适当增加区域资源利用均衡目标的权重更有利于提高总体优化效果。研究结果可为公交充电站选址和路径规划提供决策支持。

关键词:

选址-路径问题, 资源利用均衡, 公交充电站, 多目标优化, 遗传算法

Abstract:

In the dual context of the new infrastructure promoting balanced regional development and low carbon development, a two-phase multi-objective decision model is established for the location-routing problem for electric bus charging stations. With the goal of maximizing economic benefits and balancing regional resource utilization, the built decision-making model considers the possible charging timing of bus drivers, and constraints such as charging demand, operating time, and utilization rate. Multiple nested genetic algorithms are designed to solve the model, and the feasibility of the model is verified through numerical examples. The results indicate that only considering the objective of economic benefits will trigger drawbacks such as charging congestion and long distance travel to reach charging stations. However, the model established in this paper can effectively reduce the differences in bus charging efficiency among regions and enhance the balance of regional resource utilization. Reducing the capacity of charging stations can improve their utilization rate and economic benefits, but the balance of regional resource utilization is weakened and the capacity of charging stations is more sensitive to the travel time spent on bus charging. Appropriately increasing the objective weight of the balance of regional resource utilization is more beneficial to improving the overall optimization performance. The research results above can provide decision-making support for the location-routing planning of bus charging stations.

Key words:

location-routing problem, balance of resource utilization, bus charging station, multi-objective optimization, genetic algorithm

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