Optimal price-based and emergency demand response programs considering consumers preferences

annif.suggestionsconsumer behaviour|demand|optimisation|pricing|energy consumption (energy technology)|distribution of electricity|electricity market|electricity consumption|consumers|electrical power networks|enen
annif.suggestions.linkshttp://www.yso.fi/onto/yso/p8576|http://www.yso.fi/onto/yso/p6256|http://www.yso.fi/onto/yso/p13477|http://www.yso.fi/onto/yso/p10773|http://www.yso.fi/onto/yso/p2382|http://www.yso.fi/onto/yso/p187|http://www.yso.fi/onto/yso/p16837|http://www.yso.fi/onto/yso/p15953|http://www.yso.fi/onto/yso/p1397|http://www.yso.fi/onto/yso/p7753en
dc.contributor.authorDadkhah, Akbar
dc.contributor.authorBayati, Navid
dc.contributor.authorShafie-khah, Miadreza
dc.contributor.authorVandevelde, Lieven
dc.contributor.authorCatalao, Joao P.S.
dc.contributor.departmentVebic-
dc.contributor.facultyfi=Tekniikan ja innovaatiojohtamisen yksikkö|en=School of Technology and Innovations|-
dc.contributor.orcidhttps://orcid.org/0000-0003-1691-5355-
dc.contributor.organizationfi=Vaasan yliopisto|en=University of Vaasa|
dc.date.accessioned2023-03-13T12:54:29Z
dc.date.accessioned2025-06-25T12:28:21Z
dc.date.available2024-01-10T23:00:28Z
dc.date.issued2022-01-10
dc.description.abstractThis paper presents a pricing optimisation framework for energy, reserve, and load scheduling of a power system considering demand response (DR). The proposed scheduling framework is formulated as a reliability-constrained unit commitment program to minimise the power system operation costs by finding optimal electricity prices and optimal incentives while guaranteeing the reliability of the system during contingencies. Moreover, customers’ attitude toward the electricity price and incentive adjustment and the effect of their preferences on load scheduling and operation of the system are investigated in various DR programs. The proposed scheme is implemented on an IEEE test system, and the scheduling process with and without DR implementation is discussed in detail by a numerical study. The proposed method helps both the system operators and customers to reliably schedule generation and consumption units and select the proper DR program according to defined prices and incentives in the case of an emergency.-
dc.description.notification©2022 Elsevier. This manuscript version is made available under the Creative Commons Attribution–NonCommercial–NoDerivatives 4.0 International (CC BY–NC–ND 4.0) license, https://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.description.reviewstatusfi=vertaisarvioitu|en=peerReviewed|-
dc.embargo.lift2024-01-10
dc.embargo.terms2024-01-10
dc.format.bitstreamtrue
dc.format.contentfi=kokoteksti|en=fulltext|-
dc.format.extent11-
dc.identifier.olddbid17890
dc.identifier.oldhandle10024/15346
dc.identifier.urihttps://osuva.uwasa.fi/handle/11111/292
dc.identifier.urnURN:NBN:fi-fe2023031331365-
dc.language.isoeng-
dc.publisherElsevier-
dc.relation.doi10.1016/j.ijepes.2021.107890-
dc.relation.funderFEDER funds through COMPETE 2020-
dc.relation.funderFundação para a Ciência e a Tecnologia, FCT-
dc.relation.grantnumberPOCI-01-0145-FEDER-029803 (02/SAICT/2017)-
dc.relation.ispartofjournalInternational Journal of Electrical Power & Energy Systems-
dc.relation.issn1879-3517-
dc.relation.issn0142-0615-
dc.relation.urlhttps://doi.org/10.1016/j.ijepes.2021.107890-
dc.relation.volume138-
dc.rightsCC BY-NC-ND 4.0-
dc.source.identifierWOS:000792889600008-
dc.source.identifierScopus:85122510666-
dc.source.identifierhttps://osuva.uwasa.fi/handle/10024/15346
dc.subjectCustomers behaviour-
dc.subjectCustomers comfort-
dc.subjectDemand response-
dc.subjectFlexibility-
dc.subjectReliability-
dc.subjectUnit commitment-
dc.subject.disciplinefi=Sähkötekniikka|en=Electrical Engineering|-
dc.titleOptimal price-based and emergency demand response programs considering consumers preferences-
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|en=A1 Peer-reviewed original journal article|sv=A1 Originalartikel i en vetenskaplig tidskrift|-
dc.type.publicationarticle-
dc.type.versionacceptedVersion-

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