A tri-level distribution locational marginal price-based demand response framework

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dc.check.date2027-01-01en
dc.check.infoAccess to this article is restricted until 24 months after publication by request of the publisheren
dc.contributor.authorPandey, Vipin Chandraen
dc.contributor.authorRawat, Tanujen
dc.contributor.authorOspina, Juanen
dc.contributor.authorDvorkin, Yuryen
dc.contributor.authorKonstantinou, Charalambosen
dc.contributor.editorKeane, Jamesen
dc.contributor.funderScience Foundation Irelanden
dc.contributor.illustratorPopov, Jelenaen
dc.contributor.otherStanton, Catherineen
dc.date.accessioned2025-01-14T09:46:08Z
dc.date.available2025-01-14T09:46:08Z
dc.date.issued2025-01-01en
dc.description.abstractIn this paper, we propose a tri-level, nested, two-stage price-based demand response (PBDR) framework that considers distribution locational marginal price (DLMP) as DR enabler between load-serving entities (LSE), demand response providers (DRPs), and customers in the day-ahead distribution market. It enables LSE and customer interactions by using multiple DRPs, positioned in-between, and independently optimizes their objectives. The problem is formulated using linear power flow with approximated power losses and its application in DLMP as DR pricing. The tri-level problem is solved using a nested reformulation & decomposition (R&D) method and tested on the real Indian-108 bus distribution system under various dynamic pricings. Further, the temporal–spatial variations in DLMPs are assessed using fairness criteria. Numerical analyses demonstrate that DLMP applications can effectively improve economic efficiency, and transparency in DR programs valuation with a favorable fairness margin. The results show that DLMP as DR pricing signal induces (0-2) % variation in DLMP for DR participation up to 10 %. Further, it gives over 90 % fairness over temporal–spatial variation for all the customers.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid111398en
dc.identifier.citationPandey, V. C., Rawat, T., Ospina, J., Dvorkin, Y. and Konstantinou, C. (2025) 'A tri-level distribution locational marginal price-based demand response framework', Electric Power Systems Research, 241, 111398 (11pp). https://doi.org/10.1016/j.epsr.2024.111398en
dc.identifier.doihttps://doi.org/10.1016/j.epsr.2024.111398en
dc.identifier.endpage11en
dc.identifier.issn0378-7796en
dc.identifier.journaltitleElectric Power Systems Researchen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/16809
dc.identifier.volume241en
dc.language.isoenen
dc.publisherElsevier B.V.en
dc.relation.ispartofElectric Power Systems Researchen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2273/IE/Alimentary Pharmabiotic Centre (APC) - Interfacing Food & Medicine/en
dc.rights© 2025, Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies. This manuscript version is made available under the CC BY-NC-ND 4.0 license.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectDistribution locational marginal priceen
dc.subjectFairnessen
dc.subjectPrice-based demand responseen
dc.subjectTri-level optimizationen
dc.titleA tri-level distribution locational marginal price-based demand response frameworken
dc.typeArticle (peer-reviewed)en
oaire.citation.volume241en
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