Probabilistic algorithms for power load flow and short-circuit analysis in distribution networks with dispersed generation

Detalhes bibliográficos
Autor(a) principal: Peñuela Meneses, César Augusto [UNESP]
Data de Publicação: 2013
Outros Autores: Echeverri, Mauricio Granada, Sanches Mantovani, Jose R. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s40313-013-0017-2
http://hdl.handle.net/11449/227185
Resumo: In this paper, an approach for probabilistic analysis of unbalanced three-phase weakly meshed distribution systems with dispersed generation is presented. The approach considers uncertainty in both load demand and the injected power of dispersed generators. In order to achieve high computational efficiency, the approach makes use of both an efficient method for probabilistic analysis and a radial power flow. The probabilistic strategy used is the well-known Three-Point Estimate Method. In the other hand, classical models based on the sequence impedance are implemented for modeling synchronous machines, asynchronous machines, and electronically interfaced sources. These models aim to consider the impact on the power flows from the installation of dispersed generators. A small-size test system, as well as the modified IEEE 123 bus system, is used to show the operation and effectiveness of the proposed approach. A Monte Carlo Simulations method is used to validate the results. © 2013 Brazilian Society for Automatics - SBA.
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spelling Probabilistic algorithms for power load flow and short-circuit analysis in distribution networks with dispersed generationDistributed generationDistribution power flowPoint Estimate MethodProbabilistic analysisShort-circuit analysisIn this paper, an approach for probabilistic analysis of unbalanced three-phase weakly meshed distribution systems with dispersed generation is presented. The approach considers uncertainty in both load demand and the injected power of dispersed generators. In order to achieve high computational efficiency, the approach makes use of both an efficient method for probabilistic analysis and a radial power flow. The probabilistic strategy used is the well-known Three-Point Estimate Method. In the other hand, classical models based on the sequence impedance are implemented for modeling synchronous machines, asynchronous machines, and electronically interfaced sources. These models aim to consider the impact on the power flows from the installation of dispersed generators. A small-size test system, as well as the modified IEEE 123 bus system, is used to show the operation and effectiveness of the proposed approach. A Monte Carlo Simulations method is used to validate the results. © 2013 Brazilian Society for Automatics - SBA.Laboratório de Planejamento de Energia Elétrica Departamento de Engenharia Elétrica Universidade Estadual Paulista - Campus de Ilha Solteira, Ilha Solteira, SPPrograma de Ingeniería Eléctrica Grupo de Planeamiento Eléctrico Universidad Tecnológica de Pereira, Pereira RisaraldaLaboratório de Planejamento de Energia Elétrica Departamento de Engenharia Elétrica Universidade Estadual Paulista - Campus de Ilha Solteira, Ilha Solteira, SPUniversidade Estadual Paulista (UNESP)Universidad Tecnológica de PereiraPeñuela Meneses, César Augusto [UNESP]Echeverri, Mauricio GranadaSanches Mantovani, Jose R. [UNESP]2022-04-29T07:11:52Z2022-04-29T07:11:52Z2013-06-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article324-338http://dx.doi.org/10.1007/s40313-013-0017-2Journal of Control, Automation and Electrical Systems, v. 24, n. 3, p. 324-338, 2013.2195-38802195-3899http://hdl.handle.net/11449/22718510.1007/s40313-013-0017-22-s2.0-84879401914Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Control, Automation and Electrical Systemsinfo:eu-repo/semantics/openAccess2024-07-04T19:06:24Zoai:repositorio.unesp.br:11449/227185Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:45:40.999984Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Probabilistic algorithms for power load flow and short-circuit analysis in distribution networks with dispersed generation
title Probabilistic algorithms for power load flow and short-circuit analysis in distribution networks with dispersed generation
spellingShingle Probabilistic algorithms for power load flow and short-circuit analysis in distribution networks with dispersed generation
Peñuela Meneses, César Augusto [UNESP]
Distributed generation
Distribution power flow
Point Estimate Method
Probabilistic analysis
Short-circuit analysis
title_short Probabilistic algorithms for power load flow and short-circuit analysis in distribution networks with dispersed generation
title_full Probabilistic algorithms for power load flow and short-circuit analysis in distribution networks with dispersed generation
title_fullStr Probabilistic algorithms for power load flow and short-circuit analysis in distribution networks with dispersed generation
title_full_unstemmed Probabilistic algorithms for power load flow and short-circuit analysis in distribution networks with dispersed generation
title_sort Probabilistic algorithms for power load flow and short-circuit analysis in distribution networks with dispersed generation
author Peñuela Meneses, César Augusto [UNESP]
author_facet Peñuela Meneses, César Augusto [UNESP]
Echeverri, Mauricio Granada
Sanches Mantovani, Jose R. [UNESP]
author_role author
author2 Echeverri, Mauricio Granada
Sanches Mantovani, Jose R. [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidad Tecnológica de Pereira
dc.contributor.author.fl_str_mv Peñuela Meneses, César Augusto [UNESP]
Echeverri, Mauricio Granada
Sanches Mantovani, Jose R. [UNESP]
dc.subject.por.fl_str_mv Distributed generation
Distribution power flow
Point Estimate Method
Probabilistic analysis
Short-circuit analysis
topic Distributed generation
Distribution power flow
Point Estimate Method
Probabilistic analysis
Short-circuit analysis
description In this paper, an approach for probabilistic analysis of unbalanced three-phase weakly meshed distribution systems with dispersed generation is presented. The approach considers uncertainty in both load demand and the injected power of dispersed generators. In order to achieve high computational efficiency, the approach makes use of both an efficient method for probabilistic analysis and a radial power flow. The probabilistic strategy used is the well-known Three-Point Estimate Method. In the other hand, classical models based on the sequence impedance are implemented for modeling synchronous machines, asynchronous machines, and electronically interfaced sources. These models aim to consider the impact on the power flows from the installation of dispersed generators. A small-size test system, as well as the modified IEEE 123 bus system, is used to show the operation and effectiveness of the proposed approach. A Monte Carlo Simulations method is used to validate the results. © 2013 Brazilian Society for Automatics - SBA.
publishDate 2013
dc.date.none.fl_str_mv 2013-06-01
2022-04-29T07:11:52Z
2022-04-29T07:11:52Z
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/10.1007/s40313-013-0017-2
Journal of Control, Automation and Electrical Systems, v. 24, n. 3, p. 324-338, 2013.
2195-3880
2195-3899
http://hdl.handle.net/11449/227185
10.1007/s40313-013-0017-2
2-s2.0-84879401914
url http://dx.doi.org/10.1007/s40313-013-0017-2
http://hdl.handle.net/11449/227185
identifier_str_mv Journal of Control, Automation and Electrical Systems, v. 24, n. 3, p. 324-338, 2013.
2195-3880
2195-3899
10.1007/s40313-013-0017-2
2-s2.0-84879401914
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Control, Automation and Electrical Systems
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 324-338
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
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