A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid

dc.contributor.authorNimalsiri, Nanduni
dc.contributor.authorMediwaththe, Chathurika
dc.contributor.authorRatnam, Elizabeth
dc.contributor.authorShaw, Marnie
dc.contributor.authorSmith, David
dc.contributor.authorHalgamuge, Saman
dc.date.accessioned2024-04-08T02:13:24Z
dc.date.issued2020
dc.date.updated2022-11-20T07:16:09Z
dc.description.abstractElectric vehicles (EVs) are an eco-friendly alternative to vehicles with internal combustion engines. Despite their environmental benefits, the massive electricity demand imposed by the anticipated proliferation of EVs could jeopardize the secure and economic operation of the power grid. Hence, proper strategies for charging coordination will be indispensable to the future power grid. Coordinated EV charging schemes can be implemented as centralized, decentralized, and hierarchical systems, with the last two, referred to as distributed charging control systems. This paper reviews the recent literature of distributed charging control schemes, where the computations are distributed across multiple EVs and/or aggregators. First, we categorize optimization problems for EV charging in terms of operational aspects and cost aspects. Then under each category, we provide a comprehensive discussion on algorithms for distributed EV charge scheduling, considering the perspectives of the grid operator, the aggregator, and the EV user. We also discuss how certain algorithms proposed in the literature cope with various uncertainties inherent to distributed EV charging control problems. Finally, we outline several research directions that require further attention.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1524-9050en_AU
dc.identifier.urihttp://hdl.handle.net/1885/316558
dc.language.isoen_AUen_AU
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)en_AU
dc.rights© 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permissionen_AU
dc.sourceIEEE Transactions on Intelligent Transportation Systemsen_AU
dc.subjectDecentralized controlen_AU
dc.subjectdistributed optimizationen_AU
dc.subjectelectric vehiclesen_AU
dc.subjecthierarchical controlen_AU
dc.titleA Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Griden_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue11en_AU
local.bibliographicCitation.lastpage4515en_AU
local.bibliographicCitation.startpage4497en_AU
local.contributor.affiliationNimalsiri, Nanduni, College of Engineering, Computing and Cybernetics, ANUen_AU
local.contributor.affiliationMediwaththe, Chathurika, College of Engineering, Computing and Cybernetics, ANUen_AU
local.contributor.affiliationRatnam, Elizabeth, College of Engineering, Computing and Cybernetics, ANUen_AU
local.contributor.affiliationShaw, Marnie, College of Engineering, Computing and Cybernetics, ANUen_AU
local.contributor.affiliationSmith, David, College of Engineering, Computing and Cybernetics, ANUen_AU
local.contributor.affiliationHalgamuge, Saman, College of Engineering, Computing and Cybernetics, ANUen_AU
local.contributor.authoruidNimalsiri, Nanduni, u6562870en_AU
local.contributor.authoruidMediwaththe, Chathurika, u1049257en_AU
local.contributor.authoruidRatnam, Elizabeth, u6837405en_AU
local.contributor.authoruidShaw, Marnie, u3627775en_AU
local.contributor.authoruidSmith, David, u4593644en_AU
local.contributor.authoruidHalgamuge, Saman, u1029002en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor400805 - Electrical energy transmission, networks and systemsen_AU
local.identifier.absfor460605 - Distributed systems and algorithmsen_AU
local.identifier.ariespublicationa383154xPUB16104en_AU
local.identifier.citationvolume21en_AU
local.identifier.doi10.1109/TITS.2019.2943620en_AU
local.identifier.scopusID2-s2.0-85088707031
local.identifier.thomsonIDWOS:000587709700002
local.publisher.urlhttps://www.ieee.org/en_AU
local.type.statusPublished Versionen_AU

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