Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/162463
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dc.contributor.authorYang, Yuen_US
dc.contributor.authorChen, Yueen_US
dc.contributor.authorHu, Guoqiangen_US
dc.contributor.authorSpanos, Costas J.en_US
dc.date.accessioned2022-10-26T01:27:04Z-
dc.date.available2022-10-26T01:27:04Z-
dc.date.issued2022-
dc.identifier.citationYang, Y., Chen, Y., Hu, G. & Spanos, C. J. (2022). Optimal network charge for peer-to-peer energy trading: a grid perspective. IEEE Transactions On Power Systems. https://dx.doi.org/10.1109/TPWRS.2022.3185585en_US
dc.identifier.issn0885-8950en_US
dc.identifier.urihttps://hdl.handle.net/10356/162463-
dc.description.abstractPeer-to-peer (P2P) energy trading is a promising market scheme to accommodate the increasing distributed energy resources (DERs). However, how P2P to be integrated into the existing power systems remains to be investigated. In this paper, we apply network charge as a means for the grid operator to attribute transmission loss and ensure network constraints for empowering P2P transaction. The interaction between the grid operator and the prosumers is modeled as a Stackelberg game, which yields a bi-level optimization problem. We prove that the Stackelberg game admits an equilibrium network charge price. Besides, we propose a method to obtain the network charge price by converting the bi-level optimization into a single-level mixed-integer quadratic programming (MIQP), which can handle a reasonable scale of prosumers efficiently. Simulations on the IEEE bus systems show that the proposed optimal network charge is favorable as it can benefit both the grid operator and the prosumers for empowering the P2P market, and achieves near-optimal social welfare. Moreover, the results show that the presence of energy storage will make the prosumers more sensitive to the network charge price changes.en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Transactions on Power Systemsen_US
dc.rights© 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. The published version is available at: https://doi.org/10.1109/TPWRS.2022.3185585.en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleOptimal network charge for peer-to-peer energy trading: a grid perspectiveen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doi10.1109/TPWRS.2022.3185585-
dc.description.versionSubmitted/Accepted versionen_US
dc.subject.keywordsPeer-to-Peer Transactionen_US
dc.subject.keywordsNetwork Chargeen_US
dc.description.acknowledgementThis work was supported by the Republic of Singapore’s National Research Foundation through a grant to the Berkeley Education Alliance for Research in Singapore (BEARS) for the Singapore-Berkeley Building Efficiency and Sustainability in the Tropics (SinBerBEST) Program. BEARS has been established by the University of California, Berkeley as a center for intellectual excellence in research and education in Singapore. This work was also supported in part by the CUHK Direct Grant for Research (No. 4055169).en_US
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