Frequency Support Studies of a Microgrid Having DG-WTG Using ANFIS and with the Application of HAE-FC and RFB

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dc.authoridRameshar, Vikash/0000-0003-3708-591Xen_US
dc.authorscopusid57215654866en_US
dc.authorscopusid57216326306en_US
dc.authorscopusid56336233900en_US
dc.authorscopusid55354654200en_US
dc.authorscopusid23968464700en_US
dc.authorwosidÖztürk, Nihat/H-8697-2018en_US
dc.contributor.authorRameshar, Vikash
dc.contributor.authorSharma, Gulshan
dc.contributor.authorBokoro, Pitshou N.
dc.contributor.authorCelik, Emre
dc.contributor.authorÖztürk, Nihat
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 micro-grid (mu-grid) has picked up momentum worldwide with the ability to supply cost-effective, clean, and reliable electrical power to the present-day demand. The practical mu-grids are comprised of non-conventional and conventional sources such as wind turbine generators (WTG) and diesel generators (DG). Due to the encouragement of wind power which is exceedingly sporadic in nature and thus the frequency of the mu-grid is exceedingly vulnerable due to the erratic nature of wind speed. Variations in the load demand have also added to the vulnerability of the mu-grid at distinctive moments of time. Consequently, this paper appears to be a novel plan that utilizes artificial neuro-fuzzy inference system (ANFIS) within the built frequency regulation of the mu-grid. The proposed research has been employed within the mu-grid, and the application outcomes have taken all possibilities, such as load variety at the distinctive moment of time, modification of the load demand on the mu-grid, and step alteration of the wind input. The achieved results are coordinated with a few of the most recent results, which presents the ANFIS ahead over other strategies. Although there is a probable scope for improvement which subsequently involves the fuel cell (FC) with a hydrogen aqua electrolyzer (HAE) unit, as well as a redox flow battery (RFB), that is introduced one at a time in the mu-grid and the results of mu-grid are calculated for various working conditions to show the impact that the ANFIS technology has upon storage devices with regards to the mu-grid architecture.en_US
dc.identifier.doi10.1080/15325008.2023.2200778
dc.identifier.endpage1596en_US
dc.identifier.issn1532-5008
dc.identifier.issn1532-5016
dc.identifier.issue15en_US
dc.identifier.scopus2-s2.0-85153486479en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage1584en_US
dc.identifier.urihttps://doi.org/10.1080/15325008.2023.2200778
dc.identifier.urihttps://hdl.handle.net/20.500.12684/14201
dc.identifier.volume51en_US
dc.identifier.wosWOS:000974699700001en_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.subjectmicrogriden_US
dc.subjectdiesel generatoren_US
dc.subjectwind turbine generatoren_US
dc.subjecthydrogen aqua electrolyzeren_US
dc.subjectfuel cellen_US
dc.subjectredox flow batteryen_US
dc.subjectAutomatic-Generation Controlen_US
dc.subjectPower-Systemen_US
dc.subjectStorageen_US
dc.subjectControlleren_US
dc.subjectManagementen_US
dc.subjectCellsen_US
dc.titleFrequency Support Studies of a Microgrid Having DG-WTG Using ANFIS and with the Application of HAE-FC and RFBen_US
dc.typeArticleen_US

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