Optimal Segmentation of Electrical Distribution Networks

Autores
Bonetti, Carlos Alberto; Bianchotti, J.D.; Vega, Jorge Ruben; Puccini, Gabriel Darío
Año de publicación
2021
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
New ways of generating electricity make possible decentralization of energy sources. This scenario of distributed generation allows efficient management of smaller electricity networks, so called microgrids. Additional advantages include a large reliability and the capability to provide a high quality of service. A strategy to design these microgrids consists on taking advantage of existing distribution network by sectoring the system into a set of microgrids with optimal autonomy. This paper presents a one-step methodology for the optimal design of microgrids based on the virtual segmentation of a distribution system. The proposed method focuses on the optimal allocation and sizing of the distributed generation together with the determination of the virtual cut-set lines to form an optimized set of microgrids. The design methodology was implemented on IEEE 119-bus system, and was also applied to Bella Italia distribution system, a real network located in Santa Fe province, Argentina.
Fil: Bonetti, Carlos Alberto. Universidad Tecnológica Nacional. Facultad Regional Rafaela; Argentina
Fil: Bianchotti, J.D.. Universidad Tecnológica Nacional. Facultad Regional Rafaela; Argentina
Fil: Vega, Jorge Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Puccini, Gabriel Darío. Universidad Tecnológica Nacional. Facultad Regional Rafaela; Argentina
Materia
DISTRIBUTED GENERATION
ISLANDING
MICROGRIDS
RENEWABLE ENERGY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/137549
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Optimal Segmentation of Electrical Distribution NetworksBonetti, Carlos AlbertoBianchotti, J.D.Vega, Jorge RubenPuccini, Gabriel DaríoDISTRIBUTED GENERATIONISLANDINGMICROGRIDSRENEWABLE ENERGYhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2New ways of generating electricity make possible decentralization of energy sources. This scenario of distributed generation allows efficient management of smaller electricity networks, so called microgrids. Additional advantages include a large reliability and the capability to provide a high quality of service. A strategy to design these microgrids consists on taking advantage of existing distribution network by sectoring the system into a set of microgrids with optimal autonomy. This paper presents a one-step methodology for the optimal design of microgrids based on the virtual segmentation of a distribution system. The proposed method focuses on the optimal allocation and sizing of the distributed generation together with the determination of the virtual cut-set lines to form an optimized set of microgrids. The design methodology was implemented on IEEE 119-bus system, and was also applied to Bella Italia distribution system, a real network located in Santa Fe province, Argentina.Fil: Bonetti, Carlos Alberto. Universidad Tecnológica Nacional. Facultad Regional Rafaela; ArgentinaFil: Bianchotti, J.D.. Universidad Tecnológica Nacional. Facultad Regional Rafaela; ArgentinaFil: Vega, Jorge Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; ArgentinaFil: Puccini, Gabriel Darío. Universidad Tecnológica Nacional. Facultad Regional Rafaela; ArgentinaInstitute of Electrical and Electronics Engineers2021-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/137549Bonetti, Carlos Alberto; Bianchotti, J.D.; Vega, Jorge Ruben; Puccini, Gabriel Darío; Optimal Segmentation of Electrical Distribution Networks; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 19; 8; 7-2021; 1375-13821548-0992CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/url/https://latamt.ieeer9.org/index.php/transactions/article/view/4561info:eu-repo/semantics/altIdentifier/url/https://latamt.ieeer9.org/index.php/transactions/article/view/4561info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:42:51Zoai:ri.conicet.gov.ar:11336/137549instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:42:51.691CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Optimal Segmentation of Electrical Distribution Networks
title Optimal Segmentation of Electrical Distribution Networks
spellingShingle Optimal Segmentation of Electrical Distribution Networks
Bonetti, Carlos Alberto
DISTRIBUTED GENERATION
ISLANDING
MICROGRIDS
RENEWABLE ENERGY
title_short Optimal Segmentation of Electrical Distribution Networks
title_full Optimal Segmentation of Electrical Distribution Networks
title_fullStr Optimal Segmentation of Electrical Distribution Networks
title_full_unstemmed Optimal Segmentation of Electrical Distribution Networks
title_sort Optimal Segmentation of Electrical Distribution Networks
dc.creator.none.fl_str_mv Bonetti, Carlos Alberto
Bianchotti, J.D.
Vega, Jorge Ruben
Puccini, Gabriel Darío
author Bonetti, Carlos Alberto
author_facet Bonetti, Carlos Alberto
Bianchotti, J.D.
Vega, Jorge Ruben
Puccini, Gabriel Darío
author_role author
author2 Bianchotti, J.D.
Vega, Jorge Ruben
Puccini, Gabriel Darío
author2_role author
author
author
dc.subject.none.fl_str_mv DISTRIBUTED GENERATION
ISLANDING
MICROGRIDS
RENEWABLE ENERGY
topic DISTRIBUTED GENERATION
ISLANDING
MICROGRIDS
RENEWABLE ENERGY
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv New ways of generating electricity make possible decentralization of energy sources. This scenario of distributed generation allows efficient management of smaller electricity networks, so called microgrids. Additional advantages include a large reliability and the capability to provide a high quality of service. A strategy to design these microgrids consists on taking advantage of existing distribution network by sectoring the system into a set of microgrids with optimal autonomy. This paper presents a one-step methodology for the optimal design of microgrids based on the virtual segmentation of a distribution system. The proposed method focuses on the optimal allocation and sizing of the distributed generation together with the determination of the virtual cut-set lines to form an optimized set of microgrids. The design methodology was implemented on IEEE 119-bus system, and was also applied to Bella Italia distribution system, a real network located in Santa Fe province, Argentina.
Fil: Bonetti, Carlos Alberto. Universidad Tecnológica Nacional. Facultad Regional Rafaela; Argentina
Fil: Bianchotti, J.D.. Universidad Tecnológica Nacional. Facultad Regional Rafaela; Argentina
Fil: Vega, Jorge Ruben. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina
Fil: Puccini, Gabriel Darío. Universidad Tecnológica Nacional. Facultad Regional Rafaela; Argentina
description New ways of generating electricity make possible decentralization of energy sources. This scenario of distributed generation allows efficient management of smaller electricity networks, so called microgrids. Additional advantages include a large reliability and the capability to provide a high quality of service. A strategy to design these microgrids consists on taking advantage of existing distribution network by sectoring the system into a set of microgrids with optimal autonomy. This paper presents a one-step methodology for the optimal design of microgrids based on the virtual segmentation of a distribution system. The proposed method focuses on the optimal allocation and sizing of the distributed generation together with the determination of the virtual cut-set lines to form an optimized set of microgrids. The design methodology was implemented on IEEE 119-bus system, and was also applied to Bella Italia distribution system, a real network located in Santa Fe province, Argentina.
publishDate 2021
dc.date.none.fl_str_mv 2021-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/137549
Bonetti, Carlos Alberto; Bianchotti, J.D.; Vega, Jorge Ruben; Puccini, Gabriel Darío; Optimal Segmentation of Electrical Distribution Networks; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 19; 8; 7-2021; 1375-1382
1548-0992
CONICET Digital
CONICET
url http://hdl.handle.net/11336/137549
identifier_str_mv Bonetti, Carlos Alberto; Bianchotti, J.D.; Vega, Jorge Ruben; Puccini, Gabriel Darío; Optimal Segmentation of Electrical Distribution Networks; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 19; 8; 7-2021; 1375-1382
1548-0992
CONICET Digital
CONICET
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://latamt.ieeer9.org/index.php/transactions/article/view/4561
info:eu-repo/semantics/altIdentifier/url/https://latamt.ieeer9.org/index.php/transactions/article/view/4561
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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