A comprehensive linear model for demand response optimization problem

annif.suggestionsoptimisation|electricity consumption|costs|distribution of electricity|renewable energy sources|electrical power networks|operating costs|smart grids|programming|energy production (process industry)|enen
annif.suggestions.linkshttp://www.yso.fi/onto/yso/p13477|http://www.yso.fi/onto/yso/p15953|http://www.yso.fi/onto/yso/p7517|http://www.yso.fi/onto/yso/p187|http://www.yso.fi/onto/yso/p20762|http://www.yso.fi/onto/yso/p7753|http://www.yso.fi/onto/yso/p10922|http://www.yso.fi/onto/yso/p29493|http://www.yso.fi/onto/yso/p4887|http://www.yso.fi/onto/yso/p2384en
dc.contributor.authorHeydarian-Forushani, Ehsan
dc.contributor.authorGolshan, Mohamad Esmail Hamedani
dc.contributor.authorShafie-khah, Miadreza
dc.contributor.authorCatalão, João 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.accessioned2020-10-19T09:10:47Z
dc.date.accessioned2025-06-25T13:38:28Z
dc.date.available2022-10-19T15:01:40Z
dc.date.issued2020-10-15
dc.description.abstractDemand Response (DR) is known as an effective solution for many power grid problems such as high operating cost as well as high peak demand. In order to achieve full potential of DR programs, DR must be implemented optimally. On this basis, determining optimal DR location, appropriate DR program and efficient penetration rate for each DR program is of great practical interest due to the fact that it guides the system operators to choose proper DR strategies. This paper presents a novel linear framework for DR optimization problem incorporated into the network-constrained unit commitment with the aim of determining optimal location, type and penetration rate of DR programs considering several practical limitations. To this end, a number of tariff-based and incentive-based DR programs have been taken into account according to the customer’s benefit function based on the price elasticity concept. The IEEE 24-bus Reliability Test System (RTS 24-bus) is used to demonstrate the applicability of the proposed model. Finally, DR optimization is analyzed with regards to different customer’s elasticity values and also different number of candidate load buses which reveal the applicability and effectiveness of the proposed methodology.-
dc.description.notification©2020 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.lift2022-10-15
dc.embargo.terms2022-10-15
dc.format.bitstreamtrue
dc.format.contentfi=kokoteksti|en=fulltext|-
dc.format.extent24-
dc.format.pagerange1-24-
dc.identifier.olddbid12742
dc.identifier.oldhandle10024/11467
dc.identifier.urihttps://osuva.uwasa.fi/handle/11111/2463
dc.identifier.urnURN:NBN:fi-fe2020101984342-
dc.language.isoeng-
dc.publisherElsevier-
dc.relation.doi10.1016/j.energy.2020.118474-
dc.relation.ispartofjournalEnergy-
dc.relation.issn1873-6785-
dc.relation.issn0360-5442-
dc.relation.urlhttps://doi.org/10.1016/j.energy.2020.118474-
dc.relation.volume209-
dc.rightsCC BY-NC-ND 4.0-
dc.source.identifierWOS: 000569756500008-
dc.source.identifierScopus: 85088817120-
dc.source.identifierhttps://osuva.uwasa.fi/handle/10024/11467
dc.subjectLinear model-
dc.subjectOptimal location-
dc.subjectOptimization problem-
dc.subjectPower grid-
dc.subjectDemand response-
dc.subject.disciplinefi=Sähkötekniikka|en=Electrical Engineering|-
dc.titleA comprehensive linear model for demand response optimization problem-
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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