Robust Joint Planning of Electric Vehicle Charging Infrastructures and Distribution Networks

annif.suggestionsdistribution of electricity|electrical power networks|electric cars|emissions|infrastructures|traffic|electrical engineering|transmission of electricity|electric vehicles|charging points for electric vehicles|enen
annif.suggestions.linkshttp://www.yso.fi/onto/yso/p187|http://www.yso.fi/onto/yso/p7753|http://www.yso.fi/onto/yso/p6099|http://www.yso.fi/onto/yso/p437|http://www.yso.fi/onto/yso/p17539|http://www.yso.fi/onto/yso/p3466|http://www.yso.fi/onto/yso/p1585|http://www.yso.fi/onto/yso/p19716|http://www.yso.fi/onto/yso/p27472|http://www.yso.fi/onto/yso/p39562en
dc.contributor.authorXue, Ping
dc.contributor.authorXiang, Yue
dc.contributor.authorShafie-Khah, Miadreza
dc.contributor.authorZhou, Run
dc.contributor.authorGuo, Yongtao
dc.contributor.authorGuo, Jingrong
dc.contributor.authorLiu, Junyong
dc.contributor.departmentVebic-
dc.contributor.facultyfi=Tekniikan ja innovaatiojohtamisen yksikkö|en=School of Technology and Innovations|-
dc.contributor.orcidhttps://orcid.org/0000-0003-1691-5355-
dc.contributor.organizationfi=Vaasan yliopisto|en=University of Vaasa|
dc.date.accessioned2023-03-07T10:56:06Z
dc.date.accessioned2025-06-25T12:28:26Z
dc.date.available2024-06-01T22:00:03Z
dc.date.issued2022-06-01
dc.description.abstractThe electric vehicles (EVs) are developed rapidly due to the demand of fossil fuel depletion and environmental pressure. However, as a flexible and clean resource, EV charging is full of uncertainty. With its large-scale integration in grid, the reliable operation of distribution network is challenged, especially when there is a large penetration of distributed generation (DG) in the system as well. As a result, how to perform the distribution network planning to ensure its reliable operation under the uncertainties is an urgent need for the current grid development. Based on this, considering the uncertainty of EV charging demand and DG supply, a robust joint planning model of EV charging infrastructures and distribution networks is proposed in this paper to adapt to the grid development. Big-M technique and second-order cone relaxation technique are adopted to linearize the non-linear part. Finally, the effectiveness and scalability of the proposed method is illustrated by the numerical case studies.-
dc.description.notification©2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.description.reviewstatusfi=vertaisarvioitu|en=peerReviewed|-
dc.embargo.lift2024-06-01
dc.embargo.terms2024-06-01
dc.format.bitstreamtrue
dc.format.contentfi=kokoteksti|en=fulltext|-
dc.format.extent5-
dc.format.pagerange135-139-
dc.identifier.isbn978-1-6654-1819-5-
dc.identifier.olddbid17867
dc.identifier.oldhandle10024/15321
dc.identifier.urihttps://osuva.uwasa.fi/handle/11111/295
dc.identifier.urnURN:NBN:fi-fe2023030730304-
dc.language.isoeng-
dc.publisherIEEE-
dc.relation.conferenceAsia Conference on Power and Electrical Engineering, ACPEE-
dc.relation.doi10.1109/ACPEE53904.2022.9783920-
dc.relation.funderNational Natural Science Foundation of China-
dc.relation.funderAcademy of Finland-
dc.relation.grantnumber52111530067-
dc.relation.grantnumber341473-
dc.relation.isbn978-1-6654-1820-1-
dc.relation.ispartof2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)-
dc.relation.urlhttps://doi.org/10.1109/ACPEE53904.2022.9783920-
dc.source.identifierScopus:85133385920-
dc.source.identifierhttps://osuva.uwasa.fi/handle/10024/15321
dc.subjectcharging infrastructures-
dc.subjectdistribution network-
dc.subjectelectric vehicle-
dc.subjectrobust optimization-
dc.subjectuncertainty-
dc.subject.disciplinefi=Sähkötekniikka|en=Electrical Engineering|-
dc.titleRobust Joint Planning of Electric Vehicle Charging Infrastructures and Distribution Networks-
dc.type.okmfi=A4 Artikkeli konferenssijulkaisussa|en=A4 Peer-reviewed article in conference proceeding|sv=A4 Artikel i en konferenspublikation|-
dc.type.publicationarticle-
dc.type.versionacceptedVersion-

Tiedostot

Näytetään 1 - 1 / 1
Ladataan...
Name:
Osuva_Xue_Xiang_Shafie-Khah_Zhou_Guo_Guo_Liu_2022.pdf
Size:
473.15 KB
Format:
Adobe Portable Document Format
Description:
Artikkeli

Kokoelmat