AGC performance amelioration in multi-area interconnected thermal and thermal-hydro-gas power systems using a novel controller

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dc.authoridArya, Yogendra/0000-0003-4661-1950
dc.authoridDahiya, Pankaj/0000-0002-2722-1554
dc.authorwosidArya, Yogendra/I-8805-2019
dc.contributor.authorArya, Yogendra
dc.contributor.authorDahiya, Pankaj
dc.contributor.authorCelik, Emre
dc.contributor.authorSharma, Gulshan
dc.contributor.authorGozde, Haluk
dc.contributor.authorNasiruddin, Ibraheem
dc.date.accessioned2021-12-01T18:50:55Z
dc.date.available2021-12-01T18:50:55Z
dc.date.issued2021
dc.department[Belirlenecek]en_US
dc.description.abstractDue to varying structure, random load demands, nonlinearities, parameters ambiguity, steadily escalating size and intricacy of the interconnected power system (IPS), automatic generation control (AGC) is treated as one of the biggest crucial issues in IPS. Hence, expert, intelligent and robust control scheme is indispensable for stable operation of IPS and supply of electricity under sudden load demand disturbances. In vision of this, in this work, a novel cascade fuzzy-proportional integral derivative incorporating filter (PIDN)-fractional order PIDN (FPIDN-FOPIDN) controller is offered as an expert control strategy to deal effectively with AGC issue of IPS. Imperialist competitive algorithm is prolifically utilized for optimizing the controller parameters. Initially, a two area non-reheat thermal IPS is studied in detail and next to attest the efficacy of the technique, the study is extended to realistic two-area multi-source thermal-hydro-gas and reheat thermal three-area systems. The prominent benefit of cascade FPIDN-FOPIDN strategy comprises its great lethargy to large load demands and its supremacy over various latest intelligent classical/fuzzy controllers. The control strategy beats several techniques concerning significant lesser settling time, oscillations, over/under shoots and different performance index values. Finally, a robustness investigation is performed in order to validate the robustness of the controller. (C) 2020 Karabuk University. Publishing services by Elsevier B.V.en_US
dc.identifier.doi10.1016/j.jestch.2020.08.015
dc.identifier.endpage396en_US
dc.identifier.issn2215-0986
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85092010460en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage384en_US
dc.identifier.urihttps://doi.org/10.1016/j.jestch.2020.08.015
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10944
dc.identifier.volume24en_US
dc.identifier.wosWOS:000627070400002en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier - Division Reed Elsevier India Pvt Ltden_US
dc.relation.ispartofEngineering Science And Technology-An International Journal-Jestechen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMulti-source thermal-hydro-gas power systemen_US
dc.subjectReheat thermal power systemen_US
dc.subjectOptimal fractional order fuzzy controlleren_US
dc.subjectInterconnected electric power systemen_US
dc.subjectGeneration control of energy systemen_US
dc.subjectRobust control operationen_US
dc.subjectAutomatic-Generation Controlen_US
dc.subjectLoad-Frequency Controlen_US
dc.subjectFuzzy-Pid Controlleren_US
dc.subjectImperialist Competitive Algorithmen_US
dc.subjectPhotovoltaic Systemen_US
dc.subjectDistributed Mpcen_US
dc.subjectHybrid Psoen_US
dc.subjectOptimizationen_US
dc.subjectSearchen_US
dc.subjectTurbineen_US
dc.titleAGC performance amelioration in multi-area interconnected thermal and thermal-hydro-gas power systems using a novel controlleren_US
dc.typeArticleen_US

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