Sensitivity Factor-Based Congestion Mitigation in DPS Applying Novel Hybrid GWPSO

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dc.authoridGautam, Anubha/0000-0001-5713-9028
dc.authoridOZTURK, NIHAT/0000-0002-0607-1868
dc.authoridGautam, Anurag/0000-0001-8994-1189
dc.authorwosidOZTURK, NIHAT/H-8697-2018
dc.contributor.authorGautam, Anubha
dc.contributor.authorSharma, Parshram
dc.contributor.authorKumar, Yogendra
dc.contributor.authorSharma, Gulshan
dc.contributor.authorGautam, Anurag
dc.contributor.authorÇelik, Emre
dc.contributor.authorÖztürk, Nihat
dc.date.accessioned2023-07-26T11:50:54Z
dc.date.available2023-07-26T11:50:54Z
dc.date.issued2023
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractIn a deregulated power system, with a limited power system framework, alleviation in power transfer has been one of the most crucial problems. This alleviation of bulk power transmission came with congestion, where a transmission line transmits power very near the constrained thermal limits. Congestion has to be mitigated for reliable, economical, and stable operation of the power system. Congestion can be mitigated by applying several methods which may be cost-free or non-cost-free. This article presents a cost-free method employing TCSC as a FACTS device. FACTS devices are very costly. To make the TCSC operation economic, LUF and DLUF are used here to optimally locate the device. TCSC is used here as a variable impedance device. A novel hybrid heuristic optimization technique where Grey Wolf optimizer is merged with Particle Swarm Optimizer to optimize the size of TCSC. The proposed method is implemented to regulate the line reactance for congestion mitigation. The power loss and voltage deviation of the system are reduced by the proposed method to relieve the system congestion. The system security margin is enhanced significantly to make the system more reliable. The proposed algorithm is validated on IEEE 30 bus system and is also validated by comparing the results with parent algorithms. The results reveal that the proposed methodology successfully minimized the objectives for mitigating congestion.en_US
dc.identifier.doi10.1080/15325008.2023.2178545
dc.identifier.endpage567en_US
dc.identifier.issn1532-5008
dc.identifier.issn1532-5016
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-85148999284en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage555en_US
dc.identifier.urihttps://doi.org/10.1080/15325008.2023.2178545
dc.identifier.urihttps://hdl.handle.net/20.500.12684/12452
dc.identifier.volume51en_US
dc.identifier.wosWOS:000940349000001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÇelik, Emre
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.snmz$2023V1Guncelleme$en_US
dc.subjectDeregulation; Congestion Management; Tcsc; Dluf; Luf; Gwo; Pso; Hybrid Gwo-Psoen_US
dc.subjectDifferential Evolution; Optimal Location; Power-Systems; Management; Devices; Voltageen_US
dc.titleSensitivity Factor-Based Congestion Mitigation in DPS Applying Novel Hybrid GWPSOen_US
dc.typeArticleen_US

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