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Article: Hierarchical coordinated control of plug-in electric vehicles charging in multifamily dwellings

TitleHierarchical coordinated control of plug-in electric vehicles charging in multifamily dwellings
Authors
Keywordsdistributed control
Lagrangian relaxation
Charging coordination
plug-in electric vehicles (PEVs)
Issue Date2014
Citation
IEEE Transactions on Smart Grid, 2014, v. 5, n. 3, p. 1465-1474 How to Cite?
AbstractThis paper presents a hierarchical optimal control framework to coordinate the charging of plug-in electric vehicles in multifamily dwellings. A particular scenario is considered where distributed urban residential communities access electric power supplies through a common primary distribution transformer. We first formulate a centralized finite-horizon control problem. The proposed multistage mixed-integer program seeks to maximize the total utility of the charging service provider while satisfying customers' charge demands and transformer capacity constraints. By exploiting the structure of the centralized model, we decompose the centralized problem with respect to each parking deck based on the Lagrangian relaxation method and design an effective heuristic method to find feasible solutions to speed up convergence. Case studies on operations of five parking decks following different charging strategies are carried out. Simulation results demonstrate that the proposed distributed hierarchical charging strategy outperforms the centralized charging strategy from the perspective of computational requirements. System reliability and customer privacy protection are also discussed. © 2010-2012 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/296096
ISSN
2023 Impact Factor: 8.6
2023 SCImago Journal Rankings: 4.863
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorQi, Wei-
dc.contributor.authorXu, Zhiwei-
dc.contributor.authorShen, Zuo Jun Max-
dc.contributor.authorHu, Zechun-
dc.contributor.authorSong, Yonghua-
dc.date.accessioned2021-02-11T04:52:49Z-
dc.date.available2021-02-11T04:52:49Z-
dc.date.issued2014-
dc.identifier.citationIEEE Transactions on Smart Grid, 2014, v. 5, n. 3, p. 1465-1474-
dc.identifier.issn1949-3053-
dc.identifier.urihttp://hdl.handle.net/10722/296096-
dc.description.abstractThis paper presents a hierarchical optimal control framework to coordinate the charging of plug-in electric vehicles in multifamily dwellings. A particular scenario is considered where distributed urban residential communities access electric power supplies through a common primary distribution transformer. We first formulate a centralized finite-horizon control problem. The proposed multistage mixed-integer program seeks to maximize the total utility of the charging service provider while satisfying customers' charge demands and transformer capacity constraints. By exploiting the structure of the centralized model, we decompose the centralized problem with respect to each parking deck based on the Lagrangian relaxation method and design an effective heuristic method to find feasible solutions to speed up convergence. Case studies on operations of five parking decks following different charging strategies are carried out. Simulation results demonstrate that the proposed distributed hierarchical charging strategy outperforms the centralized charging strategy from the perspective of computational requirements. System reliability and customer privacy protection are also discussed. © 2010-2012 IEEE.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Smart Grid-
dc.subjectdistributed control-
dc.subjectLagrangian relaxation-
dc.subjectCharging coordination-
dc.subjectplug-in electric vehicles (PEVs)-
dc.titleHierarchical coordinated control of plug-in electric vehicles charging in multifamily dwellings-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TSG.2014.2308217-
dc.identifier.scopuseid_2-s2.0-84899682359-
dc.identifier.volume5-
dc.identifier.issue3-
dc.identifier.spage1465-
dc.identifier.epage1474-
dc.identifier.isiWOS:000335155800033-
dc.identifier.issnl1949-3053-

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