Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117523
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Electrical and Electronic Engineering-
dc.contributorDepartment of Land Surveying and Geo-Informatics-
dc.creatorLi, G-
dc.creatorLi, H-
dc.creatorWu, F-
dc.creatorZhan, X-
dc.creatorGao, X-
dc.date.accessioned2026-02-26T03:46:36Z-
dc.date.available2026-02-26T03:46:36Z-
dc.identifier.issn0142-0615-
dc.identifier.urihttp://hdl.handle.net/10397/117523-
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.rights© 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ ).en_US
dc.rightsThe following publication Li, G., Li, H., Wu, F., Zhan, X., & Gao, X. (2025). A joint bidding mode for charging stations approaching social welfare maximization. International Journal of Electrical Power & Energy Systems, 172, 111171 is available at https://doi.org/10.1016/j.ijepes.2025.111171.en_US
dc.subjectDay-ahead biddingen_US
dc.subjectDistributed algorithmen_US
dc.subjectElectric vehiclesen_US
dc.subjectElectricity marketen_US
dc.subjectSocial welfareen_US
dc.titleA joint bidding mode for charging stations approaching social welfare maximizationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume172-
dc.identifier.doi10.1016/j.ijepes.2025.111171-
dcterms.abstractMegawatt supercharger stations will act as price-makers due to their large charging capacity. However, charging station operators (CSOs) have different accuracy in forecasting clearing price. Disordered bidding caused by asymmetry information will cause unnecessary social welfare loss. For this, a joint bidding mode that is easy to apply and approaches social welfare maximization is proposed. A third-party operator (TPO) is introduced as an assistant of the market operator to joint and coordinate CSOs, while retaining the local checking role of the distribution system operator (DSO). Little private information is exchanged to coordinate a large number of multi-region CSOs to bid on the premise of considering the interests of all players and the operation of both transmission and distribution systems. Graphical method is used to prove that the TPO can adjust the lower bound of bid/offer price of CSOs to approach the social welfare maximum. Taking the three-month load data of the UK power grid as a case, the deviation is concentrated in the interval [6.2%, 13.5%], with a minimum deviation of only 2.1%.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal of electrical power and energy systems, Nov. 2025, v. 172, 111171-
dcterms.isPartOfInternational journal of electrical power and energy systems-
dcterms.issued2025-11-
dc.identifier.scopus2-s2.0-105017586585-
dc.identifier.eissn1879-3517-
dc.identifier.artn111171-
dc.description.validate202602 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work was supported in part by the MOE (Ministry of Education in China) Project of Humanities and Social Sciences under Grant 24YJCZH337 and the National Natural Science Foundation of China under Grant 52507141.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
1-s2.0-S0142061525007197-main.pdf5.52 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.