IGDT Opportunity Method in the Trading Framework of Risk-Seeker Demand Response Aggregators

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annif.suggestionsdecision theory|prices|agreements|marketing|performance targets|electricity market|aggregation|aggregate units|energy balance|effects (results)|enen
annif.suggestions.linkshttp://www.yso.fi/onto/yso/p13478|http://www.yso.fi/onto/yso/p750|http://www.yso.fi/onto/yso/p3356|http://www.yso.fi/onto/yso/p5878|http://www.yso.fi/onto/yso/p18641|http://www.yso.fi/onto/yso/p16837|http://www.yso.fi/onto/yso/p25245|http://www.yso.fi/onto/yso/p22748|http://www.yso.fi/onto/yso/p21643|http://www.yso.fi/onto/yso/p795en
dc.contributor.authorVahid-Ghavidel, Morteza
dc.contributor.authorCatalão, João P. S.
dc.contributor.authorShafie-khah, Miadreza
dc.contributor.authorSeyyedeh Barhagh, Sahar
dc.contributor.authorMohammadi-Ivatloo, Benham
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.accessioned2021-02-19T08:20:02Z
dc.date.accessioned2025-06-25T12:18:45Z
dc.date.available2021-08-26T00:00:22Z
dc.date.issued2019-08-26
dc.description.abstractIn this study, a non-probabilistic program is proposed to a trading framework for demand response (DR) aggregators. Both sides of the aggregator, including upper side and down side of this entity, have been taken into account. In the down-side of the aggregator, two popular programs are considered such as reward-based program and time-of-use (TOU) program, where DR is obtained from these resources. The acquired DR is being sold to the purchasers in the other side of the aggregator through DR options and fixed DR contracts. To the aim of increasing the desired target profit of risk-seeker aggregator, an opportunity function of information-gap decision theory (IGDT) is used to handle the uncertainty, which is solved in General Algebraic Modeling System (GAMS) software. This model is implemented in a realistic case study.-
dc.description.notification© 2019 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.-
dc.description.reviewstatusfi=vertaisarvioitu|en=peerReviewed|-
dc.embargo.lift2021-08-26
dc.embargo.terms2021-08-26
dc.format.bitstreamtrue
dc.format.contentfi=kokoteksti|en=fulltext|-
dc.format.extent6-
dc.format.pagerange1-6-
dc.identifier.olddbid13653
dc.identifier.oldhandle10024/12146
dc.identifier.urihttps://osuva.uwasa.fi/handle/11111/23
dc.identifier.urnURN:NBN:fi-fe202102195413-
dc.language.isoeng-
dc.publisherIEEE-
dc.relation.conferencePower Tech Conference-
dc.relation.doi10.1109/PTC.2019.8810601-
dc.relation.ispartof2019 IEEE Milan PowerTech-
dc.relation.urlhttps://doi.org/10.1109/PTC.2019.8810601-
dc.source.identifierScopus: 85072333008-
dc.source.identifierhttps://osuva.uwasa.fi/handle/10024/12146
dc.subjectDemand response-
dc.subjectDR aggregator-
dc.subjectOpportunity-
dc.subjectRisk management-
dc.subject.disciplinefi=Sähkötekniikka|en=Electrical Engineering|-
dc.titleIGDT Opportunity Method in the Trading Framework of Risk-Seeker Demand Response Aggregators-
dc.type.okmfi=A4 Artikkeli konferenssijulkaisussa|en=A4 Peer-reviewed article in conference proceeding|sv=A4 Artikel i en konferenspublikation|-
dc.type.publicationarticle-
dc.type.versionacceptedVersion-

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