Robust Joint Planning of Electric Vehicle Charging Infrastructures and Distribution Networks
| annif.suggestions | distribution of electricity|electrical power networks|electric cars|emissions|infrastructures|traffic|electrical engineering|transmission of electricity|electric vehicles|charging points for electric vehicles|en | en |
| annif.suggestions.links | http://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/p39562 | en |
| dc.contributor.author | Xue, Ping | |
| dc.contributor.author | Xiang, Yue | |
| dc.contributor.author | Shafie-Khah, Miadreza | |
| dc.contributor.author | Zhou, Run | |
| dc.contributor.author | Guo, Yongtao | |
| dc.contributor.author | Guo, Jingrong | |
| dc.contributor.author | Liu, Junyong | |
| dc.contributor.department | Vebic | - |
| dc.contributor.faculty | fi=Tekniikan ja innovaatiojohtamisen yksikkö|en=School of Technology and Innovations| | - |
| dc.contributor.orcid | https://orcid.org/0000-0003-1691-5355 | - |
| dc.contributor.organization | fi=Vaasan yliopisto|en=University of Vaasa| | |
| dc.date.accessioned | 2023-03-07T10:56:06Z | |
| dc.date.accessioned | 2025-06-25T12:28:26Z | |
| dc.date.available | 2024-06-01T22:00:03Z | |
| dc.date.issued | 2022-06-01 | |
| dc.description.abstract | The 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.reviewstatus | fi=vertaisarvioitu|en=peerReviewed| | - |
| dc.embargo.lift | 2024-06-01 | |
| dc.embargo.terms | 2024-06-01 | |
| dc.format.bitstream | true | |
| dc.format.content | fi=kokoteksti|en=fulltext| | - |
| dc.format.extent | 5 | - |
| dc.format.pagerange | 135-139 | - |
| dc.identifier.isbn | 978-1-6654-1819-5 | - |
| dc.identifier.olddbid | 17867 | |
| dc.identifier.oldhandle | 10024/15321 | |
| dc.identifier.uri | https://osuva.uwasa.fi/handle/11111/295 | |
| dc.identifier.urn | URN:NBN:fi-fe2023030730304 | - |
| dc.language.iso | eng | - |
| dc.publisher | IEEE | - |
| dc.relation.conference | Asia Conference on Power and Electrical Engineering, ACPEE | - |
| dc.relation.doi | 10.1109/ACPEE53904.2022.9783920 | - |
| dc.relation.funder | National Natural Science Foundation of China | - |
| dc.relation.funder | Academy of Finland | - |
| dc.relation.grantnumber | 52111530067 | - |
| dc.relation.grantnumber | 341473 | - |
| dc.relation.isbn | 978-1-6654-1820-1 | - |
| dc.relation.ispartof | 2022 7th Asia Conference on Power and Electrical Engineering (ACPEE) | - |
| dc.relation.url | https://doi.org/10.1109/ACPEE53904.2022.9783920 | - |
| dc.source.identifier | Scopus:85133385920 | - |
| dc.source.identifier | https://osuva.uwasa.fi/handle/10024/15321 | |
| dc.subject | charging infrastructures | - |
| dc.subject | distribution network | - |
| dc.subject | electric vehicle | - |
| dc.subject | robust optimization | - |
| dc.subject | uncertainty | - |
| dc.subject.discipline | fi=Sähkötekniikka|en=Electrical Engineering| | - |
| dc.title | Robust Joint Planning of Electric Vehicle Charging Infrastructures and Distribution Networks | - |
| dc.type.okm | fi=A4 Artikkeli konferenssijulkaisussa|en=A4 Peer-reviewed article in conference proceeding|sv=A4 Artikel i en konferenspublikation| | - |
| dc.type.publication | article | - |
| dc.type.version | acceptedVersion | - |
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