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Conference Paper: Neural-net-based nonlinear control for prevention of voltage collapse
Title | Neural-net-based nonlinear control for prevention of voltage collapse |
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Authors | |
Issue Date | 1999 |
Citation | Proceedings Of The Ieee Conference On Decision And Control, 1999, v. 3, p. 2156-2161 How to Cite? |
Abstract | In 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 Identifier | http://hdl.handle.net/10722/169800 |
ISSN | 2020 SCImago Journal Rankings: 0.395 |
DC Field | Value | Language |
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dc.contributor.author | Chen, D | en_US |
dc.contributor.author | Mohler, R | en_US |
dc.contributor.author | Shahrestani, SA | en_US |
dc.contributor.author | Hill, DJ | en_US |
dc.date.accessioned | 2012-10-25T04:55:40Z | - |
dc.date.available | 2012-10-25T04:55:40Z | - |
dc.date.issued | 1999 | en_US |
dc.identifier.citation | Proceedings Of The Ieee Conference On Decision And Control, 1999, v. 3, p. 2156-2161 | en_US |
dc.identifier.issn | 0191-2216 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/169800 | - |
dc.description.abstract | In 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.language | eng | en_US |
dc.relation.ispartof | Proceedings of the IEEE Conference on Decision and Control | en_US |
dc.title | Neural-net-based nonlinear control for prevention of voltage collapse | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Hill, DJ: | en_US |
dc.identifier.authority | Hill, DJ=rp01669 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.scopus | eid_2-s2.0-0033314676 | en_US |
dc.identifier.volume | 3 | en_US |
dc.identifier.spage | 2156 | en_US |
dc.identifier.epage | 2161 | en_US |
dc.identifier.scopusauthorid | Chen, D=8525781100 | en_US |
dc.identifier.scopusauthorid | Mohler, R=7005408755 | en_US |
dc.identifier.scopusauthorid | Shahrestani, SA=6602893563 | en_US |
dc.identifier.scopusauthorid | Hill, DJ=35398599500 | en_US |
dc.identifier.issnl | 0191-2216 | - |