Fault ride-through capability enhancement of hydrogen energy-based distributed generators by using STATCOM with an intelligent control strategy

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dc.contributor.authorBayrak, Gökay
dc.contributor.authorYılmaz, Alper
dc.contributor.authorDemirci, Eren
dc.date.accessioned2024-06-24T12:53:44Z
dc.date.available2024-06-24T12:53:44Z
dc.date.issued2023-12-25
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü
dc.description.abstractThis paper presents an intelligent adaptive neuro-fuzzy inference (ANFIS)-based control method for increasing the Fault Ride-Through (FRT) capability of hydrogen energy-based distributed generators. The static synchronous compensator (STATCOM) system is integrated into the modeled power system with the Solid Oxide Fuel Cell system. To investigate the FRT capability of the proposed method, fault scenarios under different grid conditions are generated. The proposed ANFIS-based method is compared with the conventional PI-based STATCOM model and the system without any flexible AC transmission system devices. When the obtained results are analyzed, with the developed intelligent control method, an improvement of at least 8% and a maximum of 12.6% is achieved in the voltage value, depending on the type of failure that occurs. Besides, there is an improvement of at least 10% and at most 16.6% in the settling time values. The voltage fluctuations and sudden peaks in the system with the proposed method are less than in the other systems and it provides voltage support to the system successfully. The transient response of the Solid Oxide Fuel Cell system provides sustainable and stable reactive power support to the grid. Besides, the proposed method not only contributes to the FRT capability of system but also minimizes voltage changes that may reduce the life of the distributed generator or cause it to malfunction
dc.identifier10.1016/j.ijhydene.2023.06.274
dc.identifier.doi10.1016/j.ijhydene.2023.06.274
dc.identifier.endpage39462
dc.identifier.issn03603199
dc.identifier.issue99
dc.identifier.scopusqualityQ1
dc.identifier.startpage39442
dc.identifier.urihttps://hdl.handle.net/20.500.12885/2273
dc.identifier.volume48
dc.identifier.wosWOS:001114391200001
dc.identifier.wosqualityQ1
dc.institutionauthorBayrak, Gökay
dc.institutionauthorYılmaz, Alper
dc.institutionauthorDemirci, Eren
dc.institutionauthorid0000-0002-5136-0829
dc.institutionauthorid0000-0003-3736-3668
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.ispartofInternational Journal of Hydrogen Energy
dc.relation.ispartofseriesInternational Journal of Hydrogen Energy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAdaptive neuro-fuzzy inference system (ANFIS)
dc.subjectFACTS
dc.subjectFault resilience capability
dc.subjectHydrogen energy
dc.subjectSolid oxide fuel cell (SOFC)
dc.titleFault ride-through capability enhancement of hydrogen energy-based distributed generators by using STATCOM with an intelligent control strategy
dc.typeArticle
oaire.citation.issue99
oaire.citation.volume48

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