Probabilistic algorithms for power load flow and short-circuit analysis in distribution networks with dispersed generation
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , |
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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Repositório Institucional da UNESP |
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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 |
|
_version_ |
1808128975414755328 |