Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/26597
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dc.contributor.authorWang, H-
dc.contributor.authorJia, Y-
dc.contributor.authorShi, M-
dc.contributor.authorLai, CS-
dc.contributor.authorLi, K-
dc.date.accessioned2023-06-02T09:33:31Z-
dc.date.available2023-06-02T09:33:31Z-
dc.date.issued2023-05-08-
dc.identifierORCiD: Han Wang https://orcid.org/0000-0002-8200-9134-
dc.identifierORCiD: Youwei Jia https://orcid.org/0000-0003-3071-5552-
dc.identifierORCiD: Mengge Shi https://orcid.org/0000-0002-5520-1198-
dc.identifierORCiD: Chun Sing Lai https://orcid.org/0000-0002-4169-4438-
dc.identifierORCiD: Kang Li https://orcid.org/0000-0001-6657-0522-
dc.identifier.citationWang, H. et al. (2023) 'A Mutually Beneficial Operation Framework for Virtual Power Plants and Electric Vehicle Charging Stations', IEEE Transactions on Smart Grid, 14 (6), pp. 4634 - 4648. doi: 10.1109/tsg.2023.3273856.en_US
dc.identifier.issn1949-3053-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/26597-
dc.description.abstractVirtual power plants (VPPs) and electric vehicle (EV) charging stations (CSs) have been attracting much attention in recent years. However, existing research rarely concerns the cooperation between VPPs and CSs that are managed by different stakeholders. To facilitate the cooperation between VPPs and CSs, this work proposes a cooperative operation framework for a multi-stakeholder VPP-CSs system. In the proposed cooperative framework, day-ahead offering and real-time balancing models are developed to maximize the total benefit of the VPP-CSs system. To support a more flexible operation of the VPP-CSs system with EV energy flexibility, an EV user incentive program is proposed for acquiring EV battery access rights. The conflicting interests of different stakeholders are addressed by a τ -value cost allocation method. To alleviate the computational burden in calculating the τ -values, a maximum right cost estimation approach is proposed. Case studies confirm that the proposed methods can provide superior performance by increasing 4.6% of VPP profit, increasing 20.7% of CS profit, reducing 16.3% of EV user charging fees, and achieving 99.2% of τ -value estimation accuracy.-
dc.description.sponsorship10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 72071100); Young Elite Scientist Sponsorship Program by CSEE (Grant Number: CSEE-YESS-2020027); Shenzhen Basic Research Program (Grant Number: JCYJ20210324104410030).en_US
dc.format.extent4634 - 4648-
dc.format.mediumPrint-Electronic-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2023 Institute of Electrical and Electronics Engineers (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 by sending a request to pubs-permissions@ieee.org. For more information, see https://www.ieee.org/publications/rights/rights-policies.html-
dc.rights.urihttps://www.ieee.org/publications/rights/rights-policies.html-
dc.subjectvirtual power planten_US
dc.subjectcharging stationsen_US
dc.subjectincentivesen_US
dc.subjectmulti-stakeholderen_US
dc.subjectt-value estimationen_US
dc.titleA Mutually Beneficial Operation Framework for Virtual Power Plants and Electric Vehicle Charging Stationsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/tsg.2023.3273856-
dc.relation.isPartOfIEEE Transactions on Smart Grid-
pubs.issue6-
pubs.publication-statusPublished-
pubs.volume14-
dc.identifier.eissn1949-3061-
dc.rights.holderInstitute of Electrical and Electronics Engineers (IEEE)-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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