HEAL DSpace

A fair selection strategy for residential Demand Response participants

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dc.contributor.author Menos-Aikateriniadis, Christoforos
dc.contributor.author Zafeiratou, Igyso
dc.contributor.author Charitos, Nikolaos
dc.contributor.author Georgilakis, Pavlos
dc.contributor.author Kokos, Isidoros
dc.date.accessioned 2023-12-08T17:22:22Z
dc.date.available 2023-12-08T17:22:22Z
dc.identifier.issn 2474-2902 el
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/58421
dc.identifier.uri http://dx.doi.org/10.26240/heal.ntua.26117
dc.rights Αναφορά Δημιουργού 3.0 Ελλάδα *
dc.rights.uri http://creativecommons.org/licenses/by/3.0/gr/ *
dc.subject Residential Demand Response en
dc.subject Customer Ranking en
dc.subject DR Participants Selection en
dc.subject Flexibility en
dc.subject Fairness en
dc.title A fair selection strategy for residential Demand Response participants en
heal.type conferenceItem
heal.classification Residential Demand Response en
heal.classification Smart Grids en
heal.access free
heal.recordProvider ntua el
heal.publicationDate 2023-12-06
heal.bibliographicCitation C. Menos-Aikateriniadis, I. Zafeiratou, N. Charitos, P. S. Georgilakis and I. Kokos, "A Fair Selection Strategy for Residential Demand Response Participants," 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Glasgow, United Kingdom, 2023, pp. 1-6 en
heal.abstract Demand Response (DR) in the residential sector is a key facilitator of the energy transition, enabling consumers to assume a more active role in the efficient operation of the grid, whereas aggregators assume an important role in its realization. However, the wider adoption of residential demand-side flexibility faces several barriers, where low end-users engagement further increases the uncertainty around the estimation of residential DR market potential. Stimulated by the emerging need to increase end-users willingness to participate in DR programs, an innovative strategy for residential aggregators is being proposed, introducing fairness in the participants’ selection methodology. The proposed framework takes into consideration reliability indicators, such as efficiency in flexibility delivery and events participation, as well as the level of inclusion (fairness) at a participant level. Case studies using a real residential data set indicate that when fairness-in participation is considered, the same flexibility target can be obtained accompanied by the inclusion of all potential resources, when compared to an exclusively performance-based participants’ selection methodology where only a few end-users are being constantly selected. en
heal.sponsor This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie and iFLEX grant agreements, No 955422 and No 957670 respectively en
heal.publisher IEEE en
heal.fullTextAvailability false
heal.conferenceName 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) en
heal.conferenceItemType full paper
dc.identifier.doi 10.1109/SmartGridComm57358.2023.10333883 el


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