An innovative LFC scheme for multi-area microgrid incorporating with hydrogen-based demand response mechanism

dc.contributor.authorYıldız, Suleyman
dc.contributor.authorGündüz, Hasan
dc.contributor.authorYildirim, Burak
dc.contributor.authorOzdemir, Mahmut Temel
dc.date.accessioned2024-12-14T22:07:18Z
dc.date.available2024-12-14T22:07:18Z
dc.date.issued2023
dc.departmentMuş Alparslan Üniversitesien_US
dc.description.abstractDue to the unpredictability of renewable energy sources (RESs) in Microgrids (MG), the Load Frequency Control (LFC) mechanism is crucial for frequency management of these systems. Frequency control in MGs can be made more cost-effective with the help of demandside management by temporarily boosting or decreasing power usage, in addition to Automatic Generation Control (AGC) techniques. Hydrogen can provide considerable benefits to MGs since it can be used in two ways: as a fuel cell for electricity generation or as an electrolyzer for power consumption, satisfying the needs of AGC and demand response (DR) simultaneously utilizing Hydrogen Energy Storage (HES) system. This research proposes an MG structure that integrates appropriate energy storage technologies, is able to provide both energy and waste management, and enables use of a variety of RES (including solar, wind, wastewater, agricultural, and residential wastes). With the newly announced Improved-Salp Swarm Algorithm (ISSA), this research aims to design a novel double-input interval type-2 fuzzy fractional order proportional-integral-derivative PI + TID (DIT2-FOPI + TID) cascade controller for LFC of multi-area MGs considering DR with a broad range of Distributed energy resources (DER). In all case studies, the proposed controller demonstrates outstanding effectiveness within the setting of LFC of MGs and, especially by employing DRM approaches, boosts frequency response performance by up to 65%. The results indicate that the dynamic frequency response of the MG is significantly enhanced by the addition of DRM capability with the HES system. (c) 2023 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.ijhydene.2023.03.278
dc.identifier.endpage39441en_US
dc.identifier.issn0360-3199
dc.identifier.issn1879-3487
dc.identifier.issue99en_US
dc.identifier.orcid0000-0002-5795-2550
dc.identifier.orcidGUNDUZ, HASAN
dc.identifier.orcid0000-0003-3145-1755
dc.identifier.orcid0000-0003-2325-8058
dc.identifier.scopus2-s2.0-85152299978
dc.identifier.scopusqualityQ1
dc.identifier.startpage39425en_US
dc.identifier.urihttps://doi.org/10.1016/j.ijhydene.2023.03.278
dc.identifier.urihttps://hdl.handle.net/20.500.12639/6533
dc.identifier.volume48en_US
dc.identifier.wosWOS:001114262100001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofInternational Journal of Hydrogen Energyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmzKA_20241214
dc.subjectType-2 fuzzy logic controlleren_US
dc.subjectDemand responseen_US
dc.subjectHydrogen fuel cellen_US
dc.subjectImproved salp swarm algorithmen_US
dc.subjectLFCen_US
dc.titleAn innovative LFC scheme for multi-area microgrid incorporating with hydrogen-based demand response mechanismen_US
dc.typeArticle

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