A Multiobjective Approach for the Optimal Placement of Protection and Control Devices in Distribution Networks with Microgrids

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorTechnology and Science-
Autor(es): dc.creatorReiz, Cleberton-
Autor(es): dc.creatorLima, Tayenne Dias De-
Autor(es): dc.creatorLeite, Jonatas Boas-
Autor(es): dc.creatorJavadi, Mohammad Sadegh-
Autor(es): dc.creatorGouveia, Clara Sofia-
Data de aceite: dc.date.accessioned2025-08-21T20:51:43Z-
Data de disponibilização: dc.date.available2025-08-21T20:51:43Z-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2021-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/ACCESS.2022.3166918-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/239892-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/239892-
Descrição: dc.descriptionProtection and control systems represent an essential part of distribution networks by ensuring the physical integrity of components and by improving system reliability. Protection devices isolate a portion of the network affected by a fault, while control devices reduce the number of de-energized loads by transferring loads to neighboring feeders. The integration of distributed generation has the potential to enhance the continuity of energy services through islanding operation during outage conditions. In this context, this study presents a multi-objective optimization approach for sizing and allocating protection and control devices in distribution networks with microgrids supplied by renewable energy sources. Reclosers, fuses, remote-controlled switches, and directional relays are considered in the formulation. Demand and generation uncertainties define the islanding operation and the load transfer possibilities. A non-dominated sorting genetic algorithm is applied in the solution of the allocation problem considering two conflicting objectives: cost of energy not supplied and equipment cost. The compromise programming is then performed to achieve the best solution from the Pareto front. The results show interesting setups for the protection system and viability of islanding operation.-
Descrição: dc.descriptionDepartment of Electrical Engineering Sao Paulo State University-
Descrição: dc.descriptionInstitute for Systems and Computer Engineering Technology and Science-
Descrição: dc.descriptionDepartment of Electrical Engineering Sao Paulo State University-
Formato: dc.format41776-41788-
Idioma: dc.languageen-
Relação: dc.relationIEEE Access-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectcompromise programming-
Palavras-chave: dc.subjectDistribution systems-
Palavras-chave: dc.subjectmicrogrids-
Palavras-chave: dc.subjectnon-dominated sorting genetic algorithm-
Palavras-chave: dc.subjectprotection system planning-
Título: dc.titleA Multiobjective Approach for the Optimal Placement of Protection and Control Devices in Distribution Networks with Microgrids-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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