Graph partitioning-based clustering for the planning of distribution network topology using spatial- temporal load forecasting

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorSchool of Electrical Engineering-
Autor(es): dc.contributorElectronics and Telecommunications-
Autor(es): dc.creatorZambrano-Asanza, S.-
Autor(es): dc.creatorCando, Diego J.-
Autor(es): dc.creatorChuqui, Freddy H.-
Autor(es): dc.creatorSanango, Juan-
Autor(es): dc.creatorFranco, John F.-
Data de aceite: dc.date.accessioned2025-08-21T22:19:34Z-
Data de disponibilização: dc.date.available2025-08-21T22:19:34Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2021-09-15-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/ISGTLatinAmerica52371.2021.9543010-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/222702-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/222702-
Descrição: dc.descriptionPlanning the expansion and the new topology of distribution networks requires knowing the location and characterization of the load as well as its future growth. Spatial load forecasting is a key tool in this task, providing high spatial resolution and adequate temporal granularity. Nowadays, with the penetration of distributed energy resources, multiple microgrid connection strategies, and implementation of self-healing and protection schemes, it is necessary to identify load blocks to plan the new active network architecture. Based on spatial load forecasting information, this paper proposes a graph partitioning technique to create load clusters in the distribution feeders. A weighted graph is constructed by means of a minimum spanning tree that allows to consider adjacency relations. The results of the simulation, carried out in a real distribution network, have demonstrated the effectiveness of the proposed method.-
Descrição: dc.descriptionUniversidade Estadual Paulista Júlio de Mesquita Filho - UNESP Department of Electrical Engineering, SP-
Descrição: dc.descriptionUniversity of Cuenca School of Electrical Engineering-
Descrição: dc.descriptionUniversity of Cuenca Electronics and Telecommunications Department of Electrical Engineering-
Descrição: dc.descriptionUniversidade Estadual Paulista Júlio de Mesquita Filho - UNESP Department of Electrical Engineering, SP-
Idioma: dc.languageen-
Relação: dc.relation2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectClustering-
Palavras-chave: dc.subjectDistribution planning-
Palavras-chave: dc.subjectGraph partitioning-
Palavras-chave: dc.subjectMicrogrids-
Palavras-chave: dc.subjectMinimal spanning tree-
Palavras-chave: dc.subjectSpatial load forecasting-
Título: dc.titleGraph partitioning-based clustering for the planning of distribution network topology using spatial- temporal load forecasting-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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