Battery electric buses charging schedule optimization considering time-of-use electricity price
Purpose – This paper aims to optimize the charging schedule for battery electric buses (BEBs) to minimize the charging cost considering the time-of-use electricity price. Design/methodology/approach – The BEBs charging schedule optimization problem is formulated as a mixed-integer linear programming...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2022-05-01
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| Series: | Journal of Intelligent and Connected Vehicles |
| Subjects: | |
| Online Access: | https://www.emerald.com/insight/content/doi/10.1108/JICV-03-2022-0006/full/pdf?title=battery-electric-buses-charging-schedule-optimization-considering-time-of-use-electricity-price |
| _version_ | 1797333612248432640 |
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| author | Jia He Na Yan Jian Zhang Yang Yu Tao Wang |
| author_facet | Jia He Na Yan Jian Zhang Yang Yu Tao Wang |
| author_sort | Jia He |
| collection | DOAJ |
| description | Purpose – This paper aims to optimize the charging schedule for battery electric buses (BEBs) to minimize the charging cost considering the time-of-use electricity price. Design/methodology/approach – The BEBs charging schedule optimization problem is formulated as a mixed-integer linear programming model. The objective is to minimize the total charging cost of the BEB fleet. The charge decision of each BEB at the end of each trip is to be determined. Two types of constraints are adopted to ensure that the charging schedule meets the operational requirements of the BEB fleet and that the number of charging piles can meet the demand of the charging schedule. Findings – This paper conducts numerical cases to validate the effect of the proposed model based on the actual timetable and charging data of a bus line. The results show that the total charge cost with the optimized charging schedule is 15.56% lower than the actual total charge cost under given conditions. The results also suggest that increasing the number of charging piles can reduce the charging cost to some extent, which can provide a reference for planning the number of charging piles. Originality/value – Considering time-of-use electricity price in the BEBs charging schedule will not only reduce the operation cost of electric transit but also make the best use of electricity resources. |
| first_indexed | 2024-03-08T08:07:27Z |
| format | Article |
| id | doaj.art-5906c8a8e24e43fa866b6d9a810d8bf8 |
| institution | Directory Open Access Journal |
| issn | 2399-9802 |
| language | English |
| last_indexed | 2024-03-08T08:07:27Z |
| publishDate | 2022-05-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Journal of Intelligent and Connected Vehicles |
| spelling | doaj.art-5906c8a8e24e43fa866b6d9a810d8bf82024-02-02T10:15:19ZengTsinghua University PressJournal of Intelligent and Connected Vehicles2399-98022022-05-015213814510.1108/JICV-03-2022-0006685107Battery electric buses charging schedule optimization considering time-of-use electricity priceJia He0Na Yan1Jian Zhang2Yang Yu3Tao Wang4Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, ChinaBeijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, ChinaBeijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, ChinaTransport for New South Wales, Sydney, AustraliaSchool of Vehicle and Mobility, Tsinghua University, Beijing, ChinaPurpose – This paper aims to optimize the charging schedule for battery electric buses (BEBs) to minimize the charging cost considering the time-of-use electricity price. Design/methodology/approach – The BEBs charging schedule optimization problem is formulated as a mixed-integer linear programming model. The objective is to minimize the total charging cost of the BEB fleet. The charge decision of each BEB at the end of each trip is to be determined. Two types of constraints are adopted to ensure that the charging schedule meets the operational requirements of the BEB fleet and that the number of charging piles can meet the demand of the charging schedule. Findings – This paper conducts numerical cases to validate the effect of the proposed model based on the actual timetable and charging data of a bus line. The results show that the total charge cost with the optimized charging schedule is 15.56% lower than the actual total charge cost under given conditions. The results also suggest that increasing the number of charging piles can reduce the charging cost to some extent, which can provide a reference for planning the number of charging piles. Originality/value – Considering time-of-use electricity price in the BEBs charging schedule will not only reduce the operation cost of electric transit but also make the best use of electricity resources.https://www.emerald.com/insight/content/doi/10.1108/JICV-03-2022-0006/full/pdf?title=battery-electric-buses-charging-schedule-optimization-considering-time-of-use-electricity-pricebattery electric buscharging schedulemixed-integer linear programmingtime-of-use electricity price |
| spellingShingle | Jia He Na Yan Jian Zhang Yang Yu Tao Wang Battery electric buses charging schedule optimization considering time-of-use electricity price Journal of Intelligent and Connected Vehicles battery electric bus charging schedule mixed-integer linear programming time-of-use electricity price |
| title | Battery electric buses charging schedule optimization considering time-of-use electricity price |
| title_full | Battery electric buses charging schedule optimization considering time-of-use electricity price |
| title_fullStr | Battery electric buses charging schedule optimization considering time-of-use electricity price |
| title_full_unstemmed | Battery electric buses charging schedule optimization considering time-of-use electricity price |
| title_short | Battery electric buses charging schedule optimization considering time-of-use electricity price |
| title_sort | battery electric buses charging schedule optimization considering time of use electricity price |
| topic | battery electric bus charging schedule mixed-integer linear programming time-of-use electricity price |
| url | https://www.emerald.com/insight/content/doi/10.1108/JICV-03-2022-0006/full/pdf?title=battery-electric-buses-charging-schedule-optimization-considering-time-of-use-electricity-price |
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