Investigating the Effectiveness of Wind Turbine and Salp Swarm Optimization in Alleviating Transmission Congestion of Power System

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dc.authorid, Ibraheem/0000-0002-9016-0854en_US
dc.authoridGautam, Anurag/0000-0001-8994-1189en_US
dc.authorscopusid57435039700en_US
dc.authorscopusid56479285200en_US
dc.authorscopusid57216326306en_US
dc.authorscopusid57218830996en_US
dc.authorscopusid55354654200en_US
dc.authorscopusid6506424559en_US
dc.contributor.authorGautam, Anurag
dc.contributor.authorNasiruddin, Ibraheem
dc.contributor.authorSharma, Gulshan
dc.contributor.authorAhmer, Mohammad F.
dc.contributor.authorCelik, Emre
dc.contributor.authorBekiroglu, Erdal
dc.date.accessioned2024-08-23T16:04:28Z
dc.date.available2024-08-23T16:04:28Z
dc.date.issued2024en_US
dc.departmentDüzce Üniversitesien_US
dc.description.abstractThe current power system grapples with congestion challenges arising from technological advancements and deregulation. Conversely, renewable energy sources like wind offer an inexhaustible, cost-effective, and environmentally friendly solution, potentially alleviating congestion in the modern transmission network by reducing the need for conventional generators to reschedule. This article conducts a thorough analysis of how the penetration of wind power impacts congestion costs in conventional energy systems. To address this, a novel approach utilizing the bus sensitivity factor is introduced for precise wind turbine placement. To efficiently mitigate congestion costs, a pioneering Salp Swarm Optimization Algorithm is proposed and validated on a modified IEEE 30 Bus system, demonstrating superior performance compared to other algorithms. The findings underscore the effectiveness of the proposed algorithm and highlight wind turbines, coupled with generator rescheduling, as a potent and cost-effective solution for alleviating transmission network congestion.en_US
dc.identifier.doi10.1080/15325008.2024.2314202
dc.identifier.issn1532-5008
dc.identifier.issn1532-5016
dc.identifier.scopus2-s2.0-85186211919en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.urihttps://doi.org/10.1080/15325008.2024.2314202
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14197
dc.identifier.wosWOS:001165781100001en_US
dc.identifier.wosqualityN/Aen_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.subjectderegulated power systemen_US
dc.subjectbus sensitivity factoren_US
dc.subjectgenerator sensitivity factoren_US
dc.subjectrenewable energy sourceen_US
dc.subjectsalp swarm optimizationen_US
dc.subjectReal Poweren_US
dc.subjectManagementen_US
dc.subjectAlgorithmen_US
dc.titleInvestigating the Effectiveness of Wind Turbine and Salp Swarm Optimization in Alleviating Transmission Congestion of Power Systemen_US
dc.typeArticleen_US

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