A bi-level optimization framework for charging station design problem considering heterogeneous charging modes
Purpose – The purpose of this paper is to optimize the design of charging station deployed at the terminal station for electric transit, with explicit consideration of heterogenous charging modes. Design/methodology/approach – The authors proposed a bi-level model to optimize the decision-making at...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2022-02-01
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| Series: | Journal of Intelligent and Connected Vehicles |
| Subjects: | |
| Online Access: | https://www.emerald.com/insight/content/doi/10.1108/JICV-07-2021-0009/full/pdf?title=a-bi-level-optimization-framework-for-charging-station-design-problem-considering-heterogeneous-charging-modes |
| _version_ | 1797334826724884480 |
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| author | Le Zhang Ziling Zeng Kun Gao |
| author_facet | Le Zhang Ziling Zeng Kun Gao |
| author_sort | Le Zhang |
| collection | DOAJ |
| description | Purpose – The purpose of this paper is to optimize the design of charging station deployed at the terminal station for electric transit, with explicit consideration of heterogenous charging modes. Design/methodology/approach – The authors proposed a bi-level model to optimize the decision-making at both tactical and operational levels simultaneously. Specifically, at the operational level (i.e. lower level), the service schedule and recharging plan of electric buses are optimized under specific design of charging station. The objective of lower-level model is to minimize total daily operational cost. This model is solved by a tailored column generation-based heuristic algorithm. At the tactical level (i.e. upper level), the design of charging station is optimized based upon the results obtained at the lower level. A tabu search algorithm is proposed subsequently to solve the upper-level model. Findings – This study conducted numerical cases to validate the applicability of the proposed model. Some managerial insights stemmed from numerical case studies are revealed and discussed, which can help transit agencies design charging station scientifically. Originality/value – The joint consideration of heterogeneous charging modes in charging station would further lower the operational cost of electric transit and speed up the market penetration of battery electric buses. |
| first_indexed | 2024-03-08T08:27:49Z |
| format | Article |
| id | doaj.art-d93a0d9ffbe8449499bd4bcba5a8e9e2 |
| institution | Directory Open Access Journal |
| issn | 2399-9802 |
| language | English |
| last_indexed | 2024-03-08T08:27:49Z |
| publishDate | 2022-02-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Journal of Intelligent and Connected Vehicles |
| spelling | doaj.art-d93a0d9ffbe8449499bd4bcba5a8e9e22024-02-02T04:31:24ZengTsinghua University PressJournal of Intelligent and Connected Vehicles2399-98022022-02-015181610.1108/JICV-07-2021-0009679210A bi-level optimization framework for charging station design problem considering heterogeneous charging modesLe Zhang0Ziling Zeng1Kun Gao2School of Economics and Management, Nanjing University of Science and Technology, Nanjing, ChinaDepartment of Architecture and Civil Engineering, Chalmers University of Technology, Gothenburg, SwedenDepartment of Architecture and Civil Engineering, Chalmers University of Technology, Gothenburg, SwedenPurpose – The purpose of this paper is to optimize the design of charging station deployed at the terminal station for electric transit, with explicit consideration of heterogenous charging modes. Design/methodology/approach – The authors proposed a bi-level model to optimize the decision-making at both tactical and operational levels simultaneously. Specifically, at the operational level (i.e. lower level), the service schedule and recharging plan of electric buses are optimized under specific design of charging station. The objective of lower-level model is to minimize total daily operational cost. This model is solved by a tailored column generation-based heuristic algorithm. At the tactical level (i.e. upper level), the design of charging station is optimized based upon the results obtained at the lower level. A tabu search algorithm is proposed subsequently to solve the upper-level model. Findings – This study conducted numerical cases to validate the applicability of the proposed model. Some managerial insights stemmed from numerical case studies are revealed and discussed, which can help transit agencies design charging station scientifically. Originality/value – The joint consideration of heterogeneous charging modes in charging station would further lower the operational cost of electric transit and speed up the market penetration of battery electric buses.https://www.emerald.com/insight/content/doi/10.1108/JICV-07-2021-0009/full/pdf?title=a-bi-level-optimization-framework-for-charging-station-design-problem-considering-heterogeneous-charging-modesbattery electric buscharging station designvehicle schedulingbi-level modelheterogeneous charging modes |
| spellingShingle | Le Zhang Ziling Zeng Kun Gao A bi-level optimization framework for charging station design problem considering heterogeneous charging modes Journal of Intelligent and Connected Vehicles battery electric bus charging station design vehicle scheduling bi-level model heterogeneous charging modes |
| title | A bi-level optimization framework for charging station design problem considering heterogeneous charging modes |
| title_full | A bi-level optimization framework for charging station design problem considering heterogeneous charging modes |
| title_fullStr | A bi-level optimization framework for charging station design problem considering heterogeneous charging modes |
| title_full_unstemmed | A bi-level optimization framework for charging station design problem considering heterogeneous charging modes |
| title_short | A bi-level optimization framework for charging station design problem considering heterogeneous charging modes |
| title_sort | bi level optimization framework for charging station design problem considering heterogeneous charging modes |
| topic | battery electric bus charging station design vehicle scheduling bi-level model heterogeneous charging modes |
| url | https://www.emerald.com/insight/content/doi/10.1108/JICV-07-2021-0009/full/pdf?title=a-bi-level-optimization-framework-for-charging-station-design-problem-considering-heterogeneous-charging-modes |
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