Optimal subtransmission switching using a reliability simulation-based multi-objective optimization model

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorCENTROSUR Electric Distribution Utility-
Autor(es): dc.contributorUniversity of Cuenca-
Autor(es): dc.creatorSergio, Zambrano-Asanza-
Autor(es): dc.creatorTatiana, Proano Barros-
Autor(es): dc.creatorStalin, Banegas Dutan-
Autor(es): dc.creatorEdwin, Lema Guaman-
Autor(es): dc.creatorFredy, Franco John-
Data de aceite: dc.date.accessioned2025-08-21T17:06:17Z-
Data de disponibilização: dc.date.available2025-08-21T17:06:17Z-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2023-03-01-
Data de envio: dc.date.issued2022-09-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.epsr.2022.108068-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/240084-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/240084-
Descrição: dc.descriptionThe growth of subtransmission network aims at satisfying load growth, maintaining a contingency level, and providing a high quality and reliable electricity service. Utilities direct the investments to reinforce this system and thus a meshed network with multiple-point feeding to the transmission system arises. At this point, an efficient alternative to achieve these objectives is to carry out a diagnosis of the network architecture and, taking advantage of the switching capability, to plan the switching of the subtransmission lines. An optimal subtransmission switching approach is proposed based on constrained multi-objective optimization that deals with energy losses and reliability, in addition to using information on the characteristics of loads and generation. A simulation-based optimization framework is constructed using the non-dominated genetic classification algorithm NSGA-II in the optimization phase and reliability assessment during simulation phase. As a result, a set of non-dominated solutions approximating the Pareto front is obtained, which allows the planner to make decisions based on its priorities and needs. The performance of the proposal is assessed with a real subtransmission system of an Ecuadorian power utility. This approach to the operational planning of a meshed subtransmission network constitutes a powerful decision-making tool that could be adopted by distribution utilities.-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University – UNESP, SP-
Descrição: dc.descriptionDepartment of Planning CENTROSUR Electric Distribution Utility-
Descrição: dc.descriptionSchool of Electrical Engineering University of Cuenca-
Descrição: dc.descriptionSchool of Energy Engineering São Paulo State University – UNESP-
Descrição: dc.descriptionDepartment of Electrical Engineering São Paulo State University – UNESP, SP-
Descrição: dc.descriptionSchool of Energy Engineering São Paulo State University – UNESP-
Descrição: dc.descriptionFAPESP: 2015/21972-6-
Descrição: dc.descriptionFAPESP: 2017/02831-8-
Idioma: dc.languageen-
Relação: dc.relationElectric Power Systems Research-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectDistribution planning-
Palavras-chave: dc.subjectNSGA-II, optimal switching-
Palavras-chave: dc.subjectreliability-
Palavras-chave: dc.subjectsubtransmission system-
Título: dc.titleOptimal subtransmission switching using a reliability simulation-based multi-objective optimization model-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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