Voltage Stability Probabilistic Assessment in Composite Systems: Modeling Unsolvability and Controllability Loss
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , |
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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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 |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://gurupi.ufma.br:8080/jspui/1/80 |
url |
http://gurupi.ufma.br:8080/jspui/1/80 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
IEEE |
publisher.none.fl_str_mv |
IEEE |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFMA instname:Universidade Federal do Maranhão (UFMA) instacron:UFMA |
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Repositório Institucional da UFMA |
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Repositório Institucional da UFMA |
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