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Conference Paper: Neural-net-based nonlinear control for prevention of voltage collapse

TitleNeural-net-based nonlinear control for prevention of voltage collapse
Authors
Issue Date1999
Citation
Proceedings Of The Ieee Conference On Decision And Control, 1999, v. 3, p. 2156-2161 How to Cite?
AbstractIn this paper, power system stability is addressed which includes the regular, generator-angle, transient stability and load-driven voltage instability. Flexible ac transmission systems (FACTS) devices are utilized for improvement of power transfer capability as well as enhancement of power system stability. Techniques are developed for synthesis of nonlinear neural controllers to deal with the situation where generator dynamics and load dynamics are interlinked so that voltage instability or even voltage collapse is more likely to occur. The simulations illustrates the performance of the synthesized neural controllers. The techniques developed can be readily generalized to more general nonlinear power systems.
Persistent Identifierhttp://hdl.handle.net/10722/169800
ISSN

 

DC FieldValueLanguage
dc.contributor.authorChen, Den_US
dc.contributor.authorMohler, Ren_US
dc.contributor.authorShahrestani, SAen_US
dc.contributor.authorHill, DJen_US
dc.date.accessioned2012-10-25T04:55:40Z-
dc.date.available2012-10-25T04:55:40Z-
dc.date.issued1999en_US
dc.identifier.citationProceedings Of The Ieee Conference On Decision And Control, 1999, v. 3, p. 2156-2161en_US
dc.identifier.issn0191-2216en_US
dc.identifier.urihttp://hdl.handle.net/10722/169800-
dc.description.abstractIn this paper, power system stability is addressed which includes the regular, generator-angle, transient stability and load-driven voltage instability. Flexible ac transmission systems (FACTS) devices are utilized for improvement of power transfer capability as well as enhancement of power system stability. Techniques are developed for synthesis of nonlinear neural controllers to deal with the situation where generator dynamics and load dynamics are interlinked so that voltage instability or even voltage collapse is more likely to occur. The simulations illustrates the performance of the synthesized neural controllers. The techniques developed can be readily generalized to more general nonlinear power systems.en_US
dc.languageengen_US
dc.relation.ispartofProceedings of the IEEE Conference on Decision and Controlen_US
dc.titleNeural-net-based nonlinear control for prevention of voltage collapseen_US
dc.typeConference_Paperen_US
dc.identifier.emailHill, DJ:en_US
dc.identifier.authorityHill, DJ=rp01669en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0033314676en_US
dc.identifier.volume3en_US
dc.identifier.spage2156en_US
dc.identifier.epage2161en_US
dc.identifier.scopusauthoridChen, D=8525781100en_US
dc.identifier.scopusauthoridMohler, R=7005408755en_US
dc.identifier.scopusauthoridShahrestani, SA=6602893563en_US
dc.identifier.scopusauthoridHill, DJ=35398599500en_US

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