Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/117523
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Electrical and Electronic Engineering | - |
| dc.contributor | Department of Land Surveying and Geo-Informatics | - |
| dc.creator | Li, G | - |
| dc.creator | Li, H | - |
| dc.creator | Wu, F | - |
| dc.creator | Zhan, X | - |
| dc.creator | Gao, X | - |
| dc.date.accessioned | 2026-02-26T03:46:36Z | - |
| dc.date.available | 2026-02-26T03:46:36Z | - |
| dc.identifier.issn | 0142-0615 | - |
| dc.identifier.uri | http://hdl.handle.net/10397/117523 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Ltd | en_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.rights | The 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.subject | Day-ahead bidding | en_US |
| dc.subject | Distributed algorithm | en_US |
| dc.subject | Electric vehicles | en_US |
| dc.subject | Electricity market | en_US |
| dc.subject | Social welfare | en_US |
| dc.title | A joint bidding mode for charging stations approaching social welfare maximization | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 172 | - |
| dc.identifier.doi | 10.1016/j.ijepes.2025.111171 | - |
| dcterms.abstract | Megawatt 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.accessRights | open access | en_US |
| dcterms.bibliographicCitation | International journal of electrical power and energy systems, Nov. 2025, v. 172, 111171 | - |
| dcterms.isPartOf | International journal of electrical power and energy systems | - |
| dcterms.issued | 2025-11 | - |
| dc.identifier.scopus | 2-s2.0-105017586585 | - |
| dc.identifier.eissn | 1879-3517 | - |
| dc.identifier.artn | 111171 | - |
| dc.description.validate | 202602 bcch | - |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | This 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.pubStatus | Published | en_US |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 1-s2.0-S0142061525007197-main.pdf | 5.52 MB | Adobe PDF | View/Open |
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