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Article: Multistage large-scale charging station planning for electric buses considering transportation network and power grid

TitleMultistage large-scale charging station planning for electric buses considering transportation network and power grid
Authors
KeywordsPower grid
Fast charging stations
Multistage planning
Transportation network
Electric buses
Issue Date2019
Citation
Transportation Research Part C: Emerging Technologies, 2019, v. 107, p. 423-443 How to Cite?
Abstract© 2019 Elsevier Ltd With the applications of electric buses (e-buses), potential solutions to problems related to infrastructures for charging e-buses are emerging. This study particularly focused on large-scale fast charging-station planning for e-buses in the public transportation electrification process, according to the characteristics of e-bus operation and plug-in fast charging mode. We conducted an interdisciplinary study to optimize planning jointly under the transportation system and power grid. In addition to capturing the spatiality of the e-bus charging service network, we further considered temporality in order to conduct long-term planning in view of the continuously growing e-bus charging demand. A spatial-temporal model, which determines the sites and sizes of e-bus charging stations, was proposed and the strategies for multistage infrastructure planning were put forward. The model was equivalently transformed into a mixed-integer second-order cone programming with high computational efficiency. The model and the multistage planning strategies were justified through a series of numerical experiments. A case study of Shenzhen, China was implemented and the robustness of the model to plan changes was studied.
Persistent Identifierhttp://hdl.handle.net/10722/296199
ISSN
2019 Impact Factor: 6.077
2015 SCImago Journal Rankings: 2.062
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLin, Yuping-
dc.contributor.authorZhang, Kai-
dc.contributor.authorShen, Zuo Jun Max-
dc.contributor.authorYe, Bin-
dc.contributor.authorMiao, Lixin-
dc.date.accessioned2021-02-11T04:53:03Z-
dc.date.available2021-02-11T04:53:03Z-
dc.date.issued2019-
dc.identifier.citationTransportation Research Part C: Emerging Technologies, 2019, v. 107, p. 423-443-
dc.identifier.issn0968-090X-
dc.identifier.urihttp://hdl.handle.net/10722/296199-
dc.description.abstract© 2019 Elsevier Ltd With the applications of electric buses (e-buses), potential solutions to problems related to infrastructures for charging e-buses are emerging. This study particularly focused on large-scale fast charging-station planning for e-buses in the public transportation electrification process, according to the characteristics of e-bus operation and plug-in fast charging mode. We conducted an interdisciplinary study to optimize planning jointly under the transportation system and power grid. In addition to capturing the spatiality of the e-bus charging service network, we further considered temporality in order to conduct long-term planning in view of the continuously growing e-bus charging demand. A spatial-temporal model, which determines the sites and sizes of e-bus charging stations, was proposed and the strategies for multistage infrastructure planning were put forward. The model was equivalently transformed into a mixed-integer second-order cone programming with high computational efficiency. The model and the multistage planning strategies were justified through a series of numerical experiments. A case study of Shenzhen, China was implemented and the robustness of the model to plan changes was studied.-
dc.languageeng-
dc.relation.ispartofTransportation Research Part C: Emerging Technologies-
dc.subjectPower grid-
dc.subjectFast charging stations-
dc.subjectMultistage planning-
dc.subjectTransportation network-
dc.subjectElectric buses-
dc.titleMultistage large-scale charging station planning for electric buses considering transportation network and power grid-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.trc.2019.08.009-
dc.identifier.scopuseid_2-s2.0-85071365828-
dc.identifier.volume107-
dc.identifier.spage423-
dc.identifier.epage443-
dc.identifier.isiWOS:000489191400023-
dc.identifier.issnl0968-090X-

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