ALGORITHM FOR PROBABILISTIC ANALYSIS of DISTRIBUTION SYSTEMS WITH DISTRIBUTED GENERATION

Detalhes bibliográficos
Autor(a) principal: Penuela Meneses, Cesar Augusto [UNESP]
Data de Publicação: 2011
Outros Autores: Granada Echeverri, Mauricio, Sanches Mantovani, Jose Roberto [UNESP]
Tipo de documento: Artigo
Idioma: spa
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://revistas.unal.edu.co/index.php/dyna/article/view/20160
http://hdl.handle.net/11449/9886
Resumo: In this paper an efficient algorithm for probabilistic analysis of unbalanced three-phase weakly-meshed distribution systems is presented. This algorithm uses the technique of Two-Point Estimate Method for calculating the probabilistic behavior of the system random variables. Additionally, the deterministic analysis of the state variables is performed by means of a Compensation-Based Radial Load Flow (CBRLF). Such load flow efficiently exploits the topological characteristics of the network. To deal with distributed generation, a strategy to incorporate a simplified model of a generator in the CBRLF is proposed. Thus, depending on the type of control and generator operation conditions, the node with distributed generation can be modeled either as a PV or PQ node. To validate the efficiency of the proposed algorithm, the IEEE 37 bus test system is used. The probabilistic results are compared with those obtained using the Monte Carlo method.
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spelling ALGORITHM FOR PROBABILISTIC ANALYSIS of DISTRIBUTION SYSTEMS WITH DISTRIBUTED GENERATIONPower flowthree-phase systemsdistributionprobabilisticweakly meshed systemsdistributed generationIn this paper an efficient algorithm for probabilistic analysis of unbalanced three-phase weakly-meshed distribution systems is presented. This algorithm uses the technique of Two-Point Estimate Method for calculating the probabilistic behavior of the system random variables. Additionally, the deterministic analysis of the state variables is performed by means of a Compensation-Based Radial Load Flow (CBRLF). Such load flow efficiently exploits the topological characteristics of the network. To deal with distributed generation, a strategy to incorporate a simplified model of a generator in the CBRLF is proposed. Thus, depending on the type of control and generator operation conditions, the node with distributed generation can be modeled either as a PV or PQ node. To validate the efficiency of the proposed algorithm, the IEEE 37 bus test system is used. The probabilistic results are compared with those obtained using the Monte Carlo method.Univ Estadual Paulista UNESP, São Paulo, BrazilUniv Estadual Paulista UNESP, São Paulo, BrazilUniv Nac Colombia, Fac Nac MinasUniversidade Estadual Paulista (Unesp)Penuela Meneses, Cesar Augusto [UNESP]Granada Echeverri, MauricioSanches Mantovani, Jose Roberto [UNESP]2014-05-20T13:29:22Z2014-05-20T13:29:22Z2011-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article79-87application/pdfhttp://revistas.unal.edu.co/index.php/dyna/article/view/20160Dyna-colombia. Medellin: Univ Nac Colombia, Fac Nac Minas, v. 78, n. 169, p. 79-87, 2011.0012-7353http://hdl.handle.net/11449/9886WOS:000297084800010WOS000297084800010.pdf0614021283361265Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPspaDyna-colombia0,167info:eu-repo/semantics/openAccess2024-07-04T19:06:03Zoai:repositorio.unesp.br:11449/9886Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:18:12.208620Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv ALGORITHM FOR PROBABILISTIC ANALYSIS of DISTRIBUTION SYSTEMS WITH DISTRIBUTED GENERATION
title ALGORITHM FOR PROBABILISTIC ANALYSIS of DISTRIBUTION SYSTEMS WITH DISTRIBUTED GENERATION
spellingShingle ALGORITHM FOR PROBABILISTIC ANALYSIS of DISTRIBUTION SYSTEMS WITH DISTRIBUTED GENERATION
Penuela Meneses, Cesar Augusto [UNESP]
Power flow
three-phase systems
distribution
probabilistic
weakly meshed systems
distributed generation
title_short ALGORITHM FOR PROBABILISTIC ANALYSIS of DISTRIBUTION SYSTEMS WITH DISTRIBUTED GENERATION
title_full ALGORITHM FOR PROBABILISTIC ANALYSIS of DISTRIBUTION SYSTEMS WITH DISTRIBUTED GENERATION
title_fullStr ALGORITHM FOR PROBABILISTIC ANALYSIS of DISTRIBUTION SYSTEMS WITH DISTRIBUTED GENERATION
title_full_unstemmed ALGORITHM FOR PROBABILISTIC ANALYSIS of DISTRIBUTION SYSTEMS WITH DISTRIBUTED GENERATION
title_sort ALGORITHM FOR PROBABILISTIC ANALYSIS of DISTRIBUTION SYSTEMS WITH DISTRIBUTED GENERATION
author Penuela Meneses, Cesar Augusto [UNESP]
author_facet Penuela Meneses, Cesar Augusto [UNESP]
Granada Echeverri, Mauricio
Sanches Mantovani, Jose Roberto [UNESP]
author_role author
author2 Granada Echeverri, Mauricio
Sanches Mantovani, Jose Roberto [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Penuela Meneses, Cesar Augusto [UNESP]
Granada Echeverri, Mauricio
Sanches Mantovani, Jose Roberto [UNESP]
dc.subject.por.fl_str_mv Power flow
three-phase systems
distribution
probabilistic
weakly meshed systems
distributed generation
topic Power flow
three-phase systems
distribution
probabilistic
weakly meshed systems
distributed generation
description In this paper an efficient algorithm for probabilistic analysis of unbalanced three-phase weakly-meshed distribution systems is presented. This algorithm uses the technique of Two-Point Estimate Method for calculating the probabilistic behavior of the system random variables. Additionally, the deterministic analysis of the state variables is performed by means of a Compensation-Based Radial Load Flow (CBRLF). Such load flow efficiently exploits the topological characteristics of the network. To deal with distributed generation, a strategy to incorporate a simplified model of a generator in the CBRLF is proposed. Thus, depending on the type of control and generator operation conditions, the node with distributed generation can be modeled either as a PV or PQ node. To validate the efficiency of the proposed algorithm, the IEEE 37 bus test system is used. The probabilistic results are compared with those obtained using the Monte Carlo method.
publishDate 2011
dc.date.none.fl_str_mv 2011-10-01
2014-05-20T13:29:22Z
2014-05-20T13:29:22Z
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://revistas.unal.edu.co/index.php/dyna/article/view/20160
Dyna-colombia. Medellin: Univ Nac Colombia, Fac Nac Minas, v. 78, n. 169, p. 79-87, 2011.
0012-7353
http://hdl.handle.net/11449/9886
WOS:000297084800010
WOS000297084800010.pdf
0614021283361265
url http://revistas.unal.edu.co/index.php/dyna/article/view/20160
http://hdl.handle.net/11449/9886
identifier_str_mv Dyna-colombia. Medellin: Univ Nac Colombia, Fac Nac Minas, v. 78, n. 169, p. 79-87, 2011.
0012-7353
WOS:000297084800010
WOS000297084800010.pdf
0614021283361265
dc.language.iso.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv Dyna-colombia
0,167
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 79-87
application/pdf
dc.publisher.none.fl_str_mv Univ Nac Colombia, Fac Nac Minas
publisher.none.fl_str_mv Univ Nac Colombia, Fac Nac Minas
dc.source.none.fl_str_mv Web of Science
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_ 1808128631331880960