A novel fast-charging stations locational planning model for electric bus transit system

With more electric buses, the optimal location of charging station plays an important role for bus electrification. This paper proposes a location planning model of electric bus fast-charging stations for the electric bus transit system, that takes the bus operation network and the distribution network into account. The model 1) simulates the operation network of electric buses thoroughly to obtain the charging demand of electric buses and 2) takes into account of the absorption capacity of distribution network and other constraints in the siting and capacity determination stage. The objective of the model is to minimize the sum of the construction cost, operation and maintenance costs, travel cost to charging stations, and the cost of power loss for charging stations at established bus terminus. The Affinity Propagation method is adopted to cluster the bus terminuses in order to obtain a preliminary number of charging stations. Subsequently, the Binary Particle Swarm Optimization algorithm is used to optimize the site selection and capacity. Finally, the model is applied to simulate and analyze the bus operation network of a coastal city in South China. The case study shows that the model can effectively optimize the layout of bus charging stations for the city.

• Record URL:
  • http://dx.doi.org/10.1016/j.energy.2021.120106
• Record URL:
  • https://www.sciencedirect.com/science/article/pii/S0360544221003558
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03605442
• Supplemental Notes:
  • © 2021 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Wu, Xiaomei
  • Feng, Qijin
  • Bai, Chenchen
  • Lai, Chun Sing
  • Jia, Youwei
  • Lai, Loi Lei
• Publication Date: 2021-6-1

Language

• English

Media Info

• Media Type: Web
• Features: Figures; Maps; References; Tables;
• Pagination: 120106
• Serial:
  • Energy
  • Volume: 224
  • Publisher: Elsevier
  • ISSN: 0360-5442
  • Serial URL: http://www.sciencedirect.com/science/journal/03605442

Subject/Index Terms

• TRT Terms: Bus transit; Electric buses; Electric vehicle charging; Location; Optimization
• Geographic Terms: China
• Subject Areas: Energy; Operations and Traffic Management; Public Transportation; Vehicles and Equipment;

Filing Info

• Accession Number: 01837657
• Record Type: Publication
• Files: TRIS
• Created Date: Feb 28 2022 9:40AM