Coordinated Optimization of Cross-Line Electric Bus Scheduling and Photovoltaic–Storage–Charging Depot Configuration.
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| Title: | Coordinated Optimization of Cross-Line Electric Bus Scheduling and Photovoltaic–Storage–Charging Depot Configuration. |
|---|---|
| Authors: | Zhu, Yinxuan1 (AUTHOR), Jiang, Wei1,2 (AUTHOR), Wei, Chunjuan1 (AUTHOR) weicj1227@163.com, Yan, Rong2 (AUTHOR) |
| Source: | Energies (19961073). Apr2026, Vol. 19 Issue 7, p1791. 22p. |
| Subject Terms: | *Mixed integer linear programming, *Decomposition method, *Carbon dioxide mitigation, *Energy consumption, *Public transit, *Solar power plants |
| Abstract: | Amid the global decarbonization of urban transportation, the large-scale deployment of electric buses faces major challenges, including concentrated charging demand, increased peak electricity demand, and inefficient energy utilization at transit depots. Existing studies usually optimize depot energy system configuration and bus scheduling separately, which often leads to biased system-level decisions. To address this limitation, this study proposes a collaborative optimization framework that integrates cross-line scheduling with the configuration of photovoltaic–storage–charging systems at depots to improve overall resource utilization. Specifically, this study formulates a mixed-integer linear programming (MILP) model to minimize the total daily system cost. The proposed model comprehensively captures multiple factors, including the costs of bus investment, charging infrastructure, photovoltaic deployment, energy storage deployment, and carbon emissions. In this study, Benders decomposition is used as a solution framework to handle the coupling structure of the model. Case studies show that, compared with conventional operation modes, the combination of cross-line scheduling and fast charging technology produces a significant synergistic effect. This combination reduces the required fleet size from 17 to 14 buses and substantially lowers investment in depot infrastructure, thereby minimizing the total system cost. Sensitivity analysis further shows that the deployment scale of photovoltaic systems has a clear threshold effect on electricity costs, whereas the core economic value of energy storage systems depends on peak shaving and arbitrage under time-of-use electricity pricing. Overall, this study demonstrates the critical role of integrated planning in improving the economic efficiency and operational feasibility of electric bus systems. It provides important theoretical support and practical guidance for depot design and resource scheduling in low-carbon public transportation networks. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 192959195 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Coordinated Optimization of Cross-Line Electric Bus Scheduling and Photovoltaic–Storage–Charging Depot Configuration. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhu%2C+Yinxuan%22">Zhu, Yinxuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jiang%2C+Wei%22">Jiang, Wei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wei%2C+Chunjuan%22">Wei, Chunjuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> weicj1227@163.com</i><br /><searchLink fieldCode="AR" term="%22Yan%2C+Rong%22">Yan, Rong</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Apr2026, Vol. 19 Issue 7, p1791. 22p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Mixed+integer+linear+programming%22">Mixed integer linear programming</searchLink><br />*<searchLink fieldCode="DE" term="%22Decomposition+method%22">Decomposition method</searchLink><br />*<searchLink fieldCode="DE" term="%22Carbon+dioxide+mitigation%22">Carbon dioxide mitigation</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br />*<searchLink fieldCode="DE" term="%22Public+transit%22">Public transit</searchLink><br />*<searchLink fieldCode="DE" term="%22Solar+power+plants%22">Solar power plants</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Amid the global decarbonization of urban transportation, the large-scale deployment of electric buses faces major challenges, including concentrated charging demand, increased peak electricity demand, and inefficient energy utilization at transit depots. Existing studies usually optimize depot energy system configuration and bus scheduling separately, which often leads to biased system-level decisions. To address this limitation, this study proposes a collaborative optimization framework that integrates cross-line scheduling with the configuration of photovoltaic–storage–charging systems at depots to improve overall resource utilization. Specifically, this study formulates a mixed-integer linear programming (MILP) model to minimize the total daily system cost. The proposed model comprehensively captures multiple factors, including the costs of bus investment, charging infrastructure, photovoltaic deployment, energy storage deployment, and carbon emissions. In this study, Benders decomposition is used as a solution framework to handle the coupling structure of the model. Case studies show that, compared with conventional operation modes, the combination of cross-line scheduling and fast charging technology produces a significant synergistic effect. This combination reduces the required fleet size from 17 to 14 buses and substantially lowers investment in depot infrastructure, thereby minimizing the total system cost. Sensitivity analysis further shows that the deployment scale of photovoltaic systems has a clear threshold effect on electricity costs, whereas the core economic value of energy storage systems depends on peak shaving and arbitrage under time-of-use electricity pricing. Overall, this study demonstrates the critical role of integrated planning in improving the economic efficiency and operational feasibility of electric bus systems. It provides important theoretical support and practical guidance for depot design and resource scheduling in low-carbon public transportation networks. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=192959195 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/en19071791 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 1791 Subjects: – SubjectFull: Mixed integer linear programming Type: general – SubjectFull: Decomposition method Type: general – SubjectFull: Carbon dioxide mitigation Type: general – SubjectFull: Energy consumption Type: general – SubjectFull: Public transit Type: general – SubjectFull: Solar power plants Type: general Titles: – TitleFull: Coordinated Optimization of Cross-Line Electric Bus Scheduling and Photovoltaic–Storage–Charging Depot Configuration. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhu, Yinxuan – PersonEntity: Name: NameFull: Jiang, Wei – PersonEntity: Name: NameFull: Wei, Chunjuan – PersonEntity: Name: NameFull: Yan, Rong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19961073 Numbering: – Type: volume Value: 19 – Type: issue Value: 7 Titles: – TitleFull: Energies (19961073) Type: main |
| ResultId | 1 |
