Optimal Deployment of Electric Vehicles’ Fast-Charging Stations
As climate change has become a pressing concern, promoting electric vehicles’ (EVs) usage has emerged as a popular response to the pollution caused by fossil-fuel automobiles. Locating charging stations in areas with an expanding charging infrastructure is crucial to the accessibility and future success of EVs. Nonetheless, suitable planning and deployment for EV fast-charging stations is one of the most critical determinants for large-scale EV adoption. Installing charging stations in existing fuel/gas stations in the city may be an effective way to persuade people to adopt EVs. In this paper, we aim to optimally locate a fast-charging station in an existing gas station in the real-world scenario of Aichi Prefecture, Japan. The purpose is to locate and size fast-charging stations in such ways that drivers can get access to these charging facilities within a rational driving range while considering real-world constraints. Furthermore, we include the investment cost and the EVs users' convenience cost. This problem is formulated by five integer linear programming using a weighted set covering models. The developed model determines where to locate charging stations as well as how many chargers should be installed in each charging station. The experimental results demonstrate that an appropriate location scheme can be obtained using the model M₅. A computational experiment identifies the best infrastructure solutions for policymakers to consider in the context of growing environmental policies.
- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/5121625
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Supplemental Notes:
- © 2023 Irfan Ullah et al.
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Authors:
- Ullah, Irfan
- Liu, Kai
- Layeb, Safa Bhar
- Severino, Alessandro
- Jamal, Arshad
- Publication Date: 2023-4
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: Article ID 6103796
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Serial:
- Journal of Advanced Transportation
- Volume: 2023
- Publisher: John Wiley & Sons, Incorporated
- ISSN: 0197-6729
- EISSN: 2042-3195
- Serial URL: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2042-3195
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Consumer behavior; Electric vehicle charging; Electric vehicles; Markets; Optimization
- Geographic Terms: Aichi (Japan)
- Subject Areas: Energy; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01883021
- Record Type: Publication
- Files: TRIS
- Created Date: May 23 2023 10:09AM