Fleet and charging infrastructure decisions for fast-charging city electric bus service
Decision aspects concerning the introduction of fast-charging city electric buses are studied in this paper. The main studied problem consists of determining a fleet of electric buses and their charging infrastructure such that a social-ecological value is maximized. In the most representative time period, all the electric buses should be available to drive, the required inter-bus interval should be maintained, the output power of any charging station and transformer should not be exceeded, and the total capital cost and the total annual operating, depreciation and energy cost should not exceed certain maximum thresholds. The total passenger demand satisfied by the electric buses can be considered as the value to be maximized. A secondary problem consists of finding a passenger load balanced schedule of the vehicles on the same route. Mathematical models for these two problems are proposed. A randomized heuristic algorithm combined with the Particle Swarm Optimization is developed for the main problem, and a known polynomial time algorithm is adapted for the secondary problem. A case study for the city of Minsk (Belarus) and computer experiments with random instances are provided. The proposed approach delivered solutions with values deviating at most 12% on average and 24% in the worst case from the upper bounds obtained as optima of a relaxed problem.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/1793974
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Supplemental Notes:
- © 2021 Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
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Authors:
- Guschinsky, Nikolai
- Kovalyov, Mikhail Y
- Rozin, Boris
- Brauner, Nadia
- Publication Date: 2021-11
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
- Pagination: 105449
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Serial:
- Computers & Operations Research
- Volume: 135
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0305-0548
- Serial URL: https://www.sciencedirect.com/journal/computers-and-operations-research
Subject/Index Terms
- TRT Terms: Case studies; Cities; Electric buses; Electric vehicle charging; Infrastructure; Optimization; Scheduling; Vehicle fleets
- Geographic Terms: Minsk (Belarus)
- Subject Areas: Energy; Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation; Terminals and Facilities; Vehicles and Equipment;
Filing Info
- Accession Number: 01840014
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 24 2022 5:26PM