Reliability Assessment of Demand Response Strategies for Profit Maximization

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dc.authoridK, NARAYANAN/0000-0001-8192-9660en_US
dc.authorid, SIVASANKARI/0009-0001-0467-2109en_US
dc.authorscopusid57466585500en_US
dc.authorscopusid54884163100en_US
dc.authorscopusid57216326306en_US
dc.authorscopusid55354654200en_US
dc.authorscopusid6506424559en_US
dc.contributor.authorSivasankari, G. S.
dc.contributor.authorNarayanan, K.
dc.contributor.authorSharma, Gulshan
dc.contributor.authorCelik, Emre
dc.contributor.authorBekiroglu, Erdal
dc.date.accessioned2024-08-23T16:04:28Z
dc.date.available2024-08-23T16:04:28Z
dc.date.issued2023en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractThe idea of renewable resource integration influences the demand-supply balance significantly. The effort taken to diminish the deviation in demand-supply balance is greatly influenced by demand response (DR) strategy. In this analysis, the concept of DR is incorporated via the approach of load management. The optimal scheduling of the load considering the available energy helps to avoid unessential load shedding. The DR strategy of load shifting is suggested at different levels in accordance with the nature of load and real-time price. The profit of the utility is enhanced by providing the customer the flexibility to schedule their load. The curtailment of load can be avoided by increased customer participation in the suggested DR programs. The operating system is designed to be both efficient and effective by utilizing the real-time tariff profile of electricity to plan the generation of renewable energy, energy storage systems that include electric vehicles, and the utilization of grid power. The scalability and generalization of the proposed DR approach make it suitable for large-scale power systems that integrate renewable energy sources. The validation of the proposed method using reliability analysis ensures the effectiveness of the formulated DR. The proposed method is tested under two different scenarios and topologies on the IEEE-33 bus system and the results accomplished are promising.en_US
dc.identifier.doi10.1080/15325008.2023.2211571
dc.identifier.endpage2147en_US
dc.identifier.issn1532-5008
dc.identifier.issn1532-5016
dc.identifier.issue18en_US
dc.identifier.scopus2-s2.0-85159693073en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage2135en_US
dc.identifier.urihttps://doi.org/10.1080/15325008.2023.2211571
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14200
dc.identifier.volume51en_US
dc.identifier.wosWOS:000990450500001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofElectric Power Components And Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectload sheddingen_US
dc.subjectdemand responseen_US
dc.subjectreliability analysisen_US
dc.subjectSAIDIen_US
dc.subjectSAIFIen_US
dc.subjectAENSen_US
dc.subjectENSen_US
dc.subjectEnergy Managementen_US
dc.subjectLoad Managementen_US
dc.subjectSystemen_US
dc.titleReliability Assessment of Demand Response Strategies for Profit Maximizationen_US
dc.typeArticleen_US

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