Optimal operational scheduling of a virtual power plant participating in day-ahead market with consideration of emission and battery degradation cost

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dc.contributor.authorAkkas, Ozge P.
dc.contributor.authorCam, Ertugrul
dc.date.accessioned2021-01-14T18:10:42Z
dc.date.available2021-01-14T18:10:42Z
dc.date.issued2020
dc.departmentKKÜ
dc.descriptionCam, Ertugrul/0000-0001-6491-9225; AKKAS, OZGE PINAR/0000-0001-5704-4678
dc.description.abstractIn this article, optimal operation of a virtual power plant (VPP) composed of a wind power plant, a photovoltaic power plant, a combined heat and power plant, a heat-only unit, and battery energy storage system is analyzed for day-ahead market. The aim is to adjust the entire generation system for maximum profit and minimum emissions to ensure that the future of the world is clean and investors are not harmed. For these reasons, data obtained from studies in the literature are used in a 24-hour time period. In addition to the four application cases of VPPs, which are mostly discussed in the literature, a fifth case has been proposed in order to be more realistic. All cases and models are modeled and analyzed in the General Algebraic Modeling System (GAMS) software by using the LINDO solver, which has not been used before in previous studies for this problem. Also, battery degradation cost and effects of depth of discharge and temperature are included in the objective function of the VPP model both to provide reality and observe their effects. As a result of this study, it has been shown that the profit of the VPP can be increased while the emission is reduced.en_US
dc.description.sponsorshipKirikkale University Scientific Research and Projects Coordination OfficeKirikkale University [2018/009]en_US
dc.description.sponsorshipThis work is supported by Kirikkale University Scientific Research and Projects Coordination Office with the grant number 2018/009.en_US
dc.identifier.citationBu makale açık erişimli değildir.en_US
dc.identifier.doi10.1002/2050-7038.12418
dc.identifier.issn2050-7038
dc.identifier.issue7en_US
dc.identifier.scopus2-s2.0-85083275156
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1002/2050-7038.12418
dc.identifier.urihttps://hdl.handle.net/20.500.12587/12737
dc.identifier.volume30en_US
dc.identifier.wosWOS:000524330800001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWILEYen_US
dc.relation.ispartofINTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectbattery degradation costen_US
dc.subjectday-ahead marketen_US
dc.subjectemissionen_US
dc.subjectprofiten_US
dc.subjectrenewable energy sourcesen_US
dc.subjectvirtual power planten_US
dc.titleOptimal operational scheduling of a virtual power plant participating in day-ahead market with consideration of emission and battery degradation costen_US
dc.typeArticle

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