Load frequency control in smart grids: A review of recent developments

dc.authorscopusid57193868250en_US
dc.authorscopusid56826062200en_US
dc.authorscopusid57201775146en_US
dc.authorscopusid55970735300en_US
dc.authorwosidABG-8088-2020en_US
dc.authorwosidIPF-9512-2023en_US
dc.authorwosidKBB-0675-2024en_US
dc.authorwosidABI-1344-2020en_US
dc.contributor.authorWadi, Mohammed
dc.contributor.authorShobole, Abdulfetah
dc.contributor.authorElmasry, Wisam
dc.contributor.authorKüçük, İsmail
dc.contributor.authorKüçük, İsmail
dc.contributor.authorWadi, Mohammed
dc.contributor.authorShobole, Abdulfetah Abdela
dc.date.accessioned2024-07-12T07:32:39Z
dc.date.available2024-07-12T07:32:39Z
dc.date.issued2023en_US
dc.departmentMühendislik ve Doğa Bilimleri Fakültesien_US
dc.description.abstractThis study provides a comprehensive and fresh review of load frequency control (LFC) in multi-area interconnected power systems (MAIPSs). The central tasks of LFC are to keep frequency variations as minimum as possible to achieve an acceptable level of stability. This research provides a complete view, from early classical control to recent technologies and modern techniques considering strategies, robust, optimal, self-tuning, and adaptive controllers for LFC in MAIPSs. Fuzzy control and earlier and recent optimization algorithms also are analyzed. The linearity, nonlinearity, and uncertainty of LFC models are also investigated. This review emphasizes recent technological advances and novel control strategies. LFC is also considered with the integration of wind, photovoltaic, electric vehicles, and storage devices. Besides, the utilization of machine learning and reinforcement techniques is examined. Further, LFC in smart grids and modern complex power systems concerning limited communication bandwidth, communication failure, and cyber-attacks are also investigated. This review provides an in-depth and detailed diagnosis of the challenges associated with LFC in modern and complex power systems. This work may be valuable for studies and practitioners interested in LFC. It, in detail, investigates future efforts and directions to enhance LFC performance, stability, and reliability in the face of increasing complexity and uncertaintyen_US
dc.identifier.citationWadi, M., Shobole, A., Elmasry, W., & Kucuk, I. (2023). Load frequency control in smart grids: A review of recent developments. Renewable and Sustainable Energy Reviews, 189, 114013. https://doi.org/10.1016/j.rser.2023.114013en_US
dc.identifier.doi10.1016/j.rser.2023.114013
dc.identifier.issn1364-0321
dc.identifier.issn1879-0690
dc.identifier.orcid0000-0001-8928-3729en_US
dc.identifier.orcid0000-0002-3180-6504en_US
dc.identifier.orcidİsmail Küçük |0000-0003-3071-0612en_US
dc.identifier.scopus2-s2.0-85175158666en_US
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.rser.2023.114013
dc.identifier.urihttps://hdl.handle.net/20.500.12436/6169
dc.identifier.volume189en_US
dc.identifier.wos001106762400001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorWadi, Mohammed
dc.institutionauthorShobole, Abdulfetah
dc.institutionauthorKüçük, İsmail
dc.language.isoen
dc.publisherElsevier Ltd.en_US
dc.relation.ispartofRenewable and Sustainable Energy Reviewsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial intelligence (AI)en_US
dc.subjectCommunications failuresen_US
dc.subjectCyber attacksen_US
dc.subjectElectric vehicles (EVs)en_US
dc.subjectLoad frequency control (LFC)en_US
dc.subjectMulti-area interconnected power system (MAIPS)en_US
dc.subjectOptimization algorithmsen_US
dc.subjectRenewable energyen_US
dc.subjectSmart gridsen_US
dc.titleLoad frequency control in smart grids: A review of recent developmentsen_US
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication501ce1ee-e714-4988-8408-86d60983d024
relation.isAuthorOfPublicatione57e2394-09f4-4128-bdb4-84c708867a9f
relation.isAuthorOfPublication4fd5b879-7f50-4336-a18f-5f6e6c324855
relation.isAuthorOfPublication.latestForDiscovery501ce1ee-e714-4988-8408-86d60983d024

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