Voltage Stability Probabilistic Assessment in Composite Systems: Modeling Unsolvability and Controllability Loss

Detalhes bibliográficos
Autor(a) principal: Rodrigues, Anselmo Barbosa
Data de Publicação: 2010
Outros Autores: Prada, Ricardo B., Silva, Maria Da Guia da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFMA
Texto Completo: http://gurupi.ufma.br:8080/jspui/1/80
Resumo: Several papers have recognized the effect of uncertainties in voltage stability analysis through probabilistic methods. In these papers, the unstable states are generally identified by the unsolvability of the power flow equations or by violations in the voltage stability margin limit. However, voltage stability problems may also be associated with a loss in voltage controllability, when a voltage control action has an effect which is contrary to what is usually expected. The main aim of this paper is to include unstable states caused by unsolvability and voltage controllability loss in the voltage stability probabilistic assessment. This goal is achieved through the combination of three techniques: the Monte Carlo Simulation Method, the nonlinear optimal power flow and the D’ matrix method. These three techniques permit the inclusion of a new issue in the computation of voltage instability risk: the unstable states stemming from controllability loss.
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spelling Rodrigues, Anselmo BarbosaPrada, Ricardo B.Silva, Maria Da Guia da2010-08-27T14:11:36Z2010-08-27T14:11:36Z2010-08http://gurupi.ufma.br:8080/jspui/1/80Several papers have recognized the effect of uncertainties in voltage stability analysis through probabilistic methods. In these papers, the unstable states are generally identified by the unsolvability of the power flow equations or by violations in the voltage stability margin limit. However, voltage stability problems may also be associated with a loss in voltage controllability, when a voltage control action has an effect which is contrary to what is usually expected. The main aim of this paper is to include unstable states caused by unsolvability and voltage controllability loss in the voltage stability probabilistic assessment. This goal is achieved through the combination of three techniques: the Monte Carlo Simulation Method, the nonlinear optimal power flow and the D’ matrix method. These three techniques permit the inclusion of a new issue in the computation of voltage instability risk: the unstable states stemming from controllability loss.Submitted by Aparecida Cruz (cidazen@gmail.com) on 2010-08-27T14:11:36Z No. of bitstreams: 1 Anselmo_IEEE 2010.pdf: 648242 bytes, checksum: c2ab695e3173377d1faec1030e465226 (MD5)Made available in DSpace on 2010-08-27T14:11:36Z (GMT). No. of bitstreams: 1 Anselmo_IEEE 2010.pdf: 648242 bytes, checksum: c2ab695e3173377d1faec1030e465226 (MD5) Previous issue date: 2010-08IEEEComposite systemsinterior point methodMonte Carlo simulationoptimal power flowprobabilistic methodssensitivity analysisvoltage stabilityVoltage Stability Probabilistic Assessment in Composite Systems: Modeling Unsolvability and Controllability Lossinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleengreponame:Repositório Institucional da UFMAinstname:Universidade Federal do Maranhão (UFMA)instacron:UFMAinfo:eu-repo/semantics/openAccessORIGINALAnselmo_IEEE 2010.pdfAnselmo_IEEE 2010.pdfapplication/pdf648242http://repositorio.ufma.br:8080/xmlui/bitstream/1/80/1/Anselmo_IEEE+2010.pdfc2ab695e3173377d1faec1030e465226MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81829http://repositorio.ufma.br:8080/xmlui/bitstream/1/80/2/license.txt89be553dc81c557318c8a1e0b2e1b451MD521/802010-08-27 11:11:36.828oai:http://gurupi.ufma.br: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Repositório InstitucionalPUBhttp://repositorio.ufma.br:8080/oai/requestrepositorio@ufma.bropendoar:2010-08-27T14:11:36Repositório Institucional da UFMA - Universidade Federal do Maranhão (UFMA)false
dc.title.pt_BR.fl_str_mv Voltage Stability Probabilistic Assessment in Composite Systems: Modeling Unsolvability and Controllability Loss
title Voltage Stability Probabilistic Assessment in Composite Systems: Modeling Unsolvability and Controllability Loss
spellingShingle Voltage Stability Probabilistic Assessment in Composite Systems: Modeling Unsolvability and Controllability Loss
Rodrigues, Anselmo Barbosa
Composite systems
interior point method
Monte Carlo simulation
optimal power flow
probabilistic methods
sensitivity analysis
voltage stability
title_short Voltage Stability Probabilistic Assessment in Composite Systems: Modeling Unsolvability and Controllability Loss
title_full Voltage Stability Probabilistic Assessment in Composite Systems: Modeling Unsolvability and Controllability Loss
title_fullStr Voltage Stability Probabilistic Assessment in Composite Systems: Modeling Unsolvability and Controllability Loss
title_full_unstemmed Voltage Stability Probabilistic Assessment in Composite Systems: Modeling Unsolvability and Controllability Loss
title_sort Voltage Stability Probabilistic Assessment in Composite Systems: Modeling Unsolvability and Controllability Loss
author Rodrigues, Anselmo Barbosa
author_facet Rodrigues, Anselmo Barbosa
Prada, Ricardo B.
Silva, Maria Da Guia da
author_role author
author2 Prada, Ricardo B.
Silva, Maria Da Guia da
author2_role author
author
dc.contributor.author.fl_str_mv Rodrigues, Anselmo Barbosa
Prada, Ricardo B.
Silva, Maria Da Guia da
dc.subject.por.fl_str_mv Composite systems
interior point method
Monte Carlo simulation
optimal power flow
probabilistic methods
sensitivity analysis
voltage stability
topic Composite systems
interior point method
Monte Carlo simulation
optimal power flow
probabilistic methods
sensitivity analysis
voltage stability
description Several papers have recognized the effect of uncertainties in voltage stability analysis through probabilistic methods. In these papers, the unstable states are generally identified by the unsolvability of the power flow equations or by violations in the voltage stability margin limit. However, voltage stability problems may also be associated with a loss in voltage controllability, when a voltage control action has an effect which is contrary to what is usually expected. The main aim of this paper is to include unstable states caused by unsolvability and voltage controllability loss in the voltage stability probabilistic assessment. This goal is achieved through the combination of three techniques: the Monte Carlo Simulation Method, the nonlinear optimal power flow and the D’ matrix method. These three techniques permit the inclusion of a new issue in the computation of voltage instability risk: the unstable states stemming from controllability loss.
publishDate 2010
dc.date.accessioned.fl_str_mv 2010-08-27T14:11:36Z
dc.date.available.fl_str_mv 2010-08-27T14:11:36Z
dc.date.issued.fl_str_mv 2010-08
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://gurupi.ufma.br:8080/jspui/1/80
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dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMA
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