Resilience Analysis of the Consensus Algorithm in Microgrids with Distributed Controllers Testing for Communication Link Failure

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorFederal University of Mato Grosso (UFMT)-
Autor(es): dc.creatorSilva, Paulo Fernando-
Autor(es): dc.creatorGiacomini, Jairo-
Autor(es): dc.creatorBonaldo, Jakson Paulo-
Autor(es): dc.creatorde Oro Arenas, Luis-
Autor(es): dc.creatorde Arimatéia Filho, José O.-
Autor(es): dc.creatorParedes, Helmo Kelis Morales-
Data de aceite: dc.date.accessioned2025-08-21T17:19:44Z-
Data de disponibilização: dc.date.available2025-08-21T17:19:44Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/GTDLA61236.2024.10913879-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/300272-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/300272-
Descrição: dc.descriptionThis paper addresses the growing interest in microgrid (MG) research, driven by the integration of renewable energy sources and the need for enhanced grid resilience and flexibility. The implementation of efficient and stable control systems is crucial for the optimization of MG operation. This study investigates the resilience of the consensus algorithm within an MG comprising three-phase four-wire generators under a distributed control system. The simulations explore various communication scenarios to assess the tolerance of the communication link under failures and their impact on MG stability. The results highlight that consensus algorithm maintain robustness and resilience even when communication links fail. These characteristics are essential for distributed control systems, where communication between generators can be interrupted or exposes to temporary failures. Consequently, effective power sharing in the MG can still be achieved, underscoring the efficacy of the algorithm in maintaining MG performance despite communication challenges.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de Mato Grosso-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionInstitute of Science and Technology of Sorocaba São Paulo State University (Unesp)-
Descrição: dc.descriptionDepartament of Eletrical Engineering Federal University of Mato Grosso (UFMT)-
Descrição: dc.descriptionInstitute of Science and Technology of Sorocaba São Paulo State University (Unesp)-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de Mato Grosso: 2022/01047-
Descrição: dc.descriptionFAPESP: 2022/07811-3-
Descrição: dc.descriptionFAPESP: 2022/15423-3-
Descrição: dc.descriptionCNPq: 309297/2021-4-
Idioma: dc.languageen-
Relação: dc.relation2024 IEEE PES Generation, Transmission and Distribution Latin America Conference and Industrial Exposition, GTDLA 2024-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectcommunication-
Palavras-chave: dc.subjectConsensus algorithm-
Palavras-chave: dc.subjectdistributed control-
Palavras-chave: dc.subjectmicrogrid-
Palavras-chave: dc.subjectpower quality-
Título: dc.titleResilience Analysis of the Consensus Algorithm in Microgrids with Distributed Controllers Testing for Communication Link Failure-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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