Distribution system state estimation using the hamiltonian cycle theory

Detalhes bibliográficos
Autor(a) principal: Leite, Jônatas Boás [UNESP]
Data de Publicação: 2016
Outros Autores: Mantovani, José Roberto Sanches [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/TSG.2015.2448940
http://hdl.handle.net/11449/172660
Resumo: Since the origin of energy management systems, state estimation applications have aided in automatic power system operations, mainly for transmission systems. Currently, however, smart grid concepts are modifying the behavior of distribution systems through a rapid increase of controllable distributed generators, demand response, and electric vehicles. Consequently, the advanced metering infrastructure is providing a large amount of synchronized metering data with high accuracy and resolution, which favors the development of state estimation procedures to sustain distribution management systems. Therefore, this paper presents the formulation of a novel algorithm for state estimation solution in distribution networks using the Hamiltonian cycle theory, where the network states are quickly obtained through a calculation scheme under the normal operating conditions.
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spelling Distribution system state estimation using the hamiltonian cycle theoryAdvanced metering infrastructure (AMI)Automatic operationsDistribution management system (DMS)Hamiltonian cycleSmart gridState estimationSince the origin of energy management systems, state estimation applications have aided in automatic power system operations, mainly for transmission systems. Currently, however, smart grid concepts are modifying the behavior of distribution systems through a rapid increase of controllable distributed generators, demand response, and electric vehicles. Consequently, the advanced metering infrastructure is providing a large amount of synchronized metering data with high accuracy and resolution, which favors the development of state estimation procedures to sustain distribution management systems. Therefore, this paper presents the formulation of a novel algorithm for state estimation solution in distribution networks using the Hamiltonian cycle theory, where the network states are quickly obtained through a calculation scheme under the normal operating conditions.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Department of Electrical Engineering São Paulo State University (UNESP) FEISDepartment of Electrical Engineering São Paulo State University (UNESP) FEISFAPESP: 2013/23590-8FAPESP: 2014/22377-1CNPq: 305371/2012-6Universidade Estadual Paulista (Unesp)Leite, Jônatas Boás [UNESP]Mantovani, José Roberto Sanches [UNESP]2018-12-11T17:01:39Z2018-12-11T17:01:39Z2016-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article366-375application/pdfhttp://dx.doi.org/10.1109/TSG.2015.2448940IEEE Transactions on Smart Grid, v. 7, n. 1, p. 366-375, 2016.1949-3053http://hdl.handle.net/11449/17266010.1109/TSG.2015.24489402-s2.0-849603635612-s2.0-84960363561.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Transactions on Smart Grid2,854info:eu-repo/semantics/openAccess2024-07-04T19:05:47Zoai:repositorio.unesp.br:11449/172660Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:31:01.822515Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Distribution system state estimation using the hamiltonian cycle theory
title Distribution system state estimation using the hamiltonian cycle theory
spellingShingle Distribution system state estimation using the hamiltonian cycle theory
Leite, Jônatas Boás [UNESP]
Advanced metering infrastructure (AMI)
Automatic operations
Distribution management system (DMS)
Hamiltonian cycle
Smart grid
State estimation
title_short Distribution system state estimation using the hamiltonian cycle theory
title_full Distribution system state estimation using the hamiltonian cycle theory
title_fullStr Distribution system state estimation using the hamiltonian cycle theory
title_full_unstemmed Distribution system state estimation using the hamiltonian cycle theory
title_sort Distribution system state estimation using the hamiltonian cycle theory
author Leite, Jônatas Boás [UNESP]
author_facet Leite, Jônatas Boás [UNESP]
Mantovani, José Roberto Sanches [UNESP]
author_role author
author2 Mantovani, José Roberto Sanches [UNESP]
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Leite, Jônatas Boás [UNESP]
Mantovani, José Roberto Sanches [UNESP]
dc.subject.por.fl_str_mv Advanced metering infrastructure (AMI)
Automatic operations
Distribution management system (DMS)
Hamiltonian cycle
Smart grid
State estimation
topic Advanced metering infrastructure (AMI)
Automatic operations
Distribution management system (DMS)
Hamiltonian cycle
Smart grid
State estimation
description Since the origin of energy management systems, state estimation applications have aided in automatic power system operations, mainly for transmission systems. Currently, however, smart grid concepts are modifying the behavior of distribution systems through a rapid increase of controllable distributed generators, demand response, and electric vehicles. Consequently, the advanced metering infrastructure is providing a large amount of synchronized metering data with high accuracy and resolution, which favors the development of state estimation procedures to sustain distribution management systems. Therefore, this paper presents the formulation of a novel algorithm for state estimation solution in distribution networks using the Hamiltonian cycle theory, where the network states are quickly obtained through a calculation scheme under the normal operating conditions.
publishDate 2016
dc.date.none.fl_str_mv 2016-01-01
2018-12-11T17:01:39Z
2018-12-11T17:01:39Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/TSG.2015.2448940
IEEE Transactions on Smart Grid, v. 7, n. 1, p. 366-375, 2016.
1949-3053
http://hdl.handle.net/11449/172660
10.1109/TSG.2015.2448940
2-s2.0-84960363561
2-s2.0-84960363561.pdf
url http://dx.doi.org/10.1109/TSG.2015.2448940
http://hdl.handle.net/11449/172660
identifier_str_mv IEEE Transactions on Smart Grid, v. 7, n. 1, p. 366-375, 2016.
1949-3053
10.1109/TSG.2015.2448940
2-s2.0-84960363561
2-s2.0-84960363561.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv IEEE Transactions on Smart Grid
2,854
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 366-375
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128371879575552

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