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Article: Tuning the fuzzy damping controller for UPFC through genetic algorithm with comparison to the gradient descent training

TitleTuning the fuzzy damping controller for UPFC through genetic algorithm with comparison to the gradient descent training
Authors
KeywordsFACTS
Fuzzy logic control
Genetic algorithms
Power system stability and control
UPFC
Issue Date2005
PublisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/ijepes
Citation
International Journal Of Electrical Power And Energy Systems, 2005, v. 27 n. 4, p. 275-283 How to Cite?
AbstractThe unified power flow controller (UPFC) is the most versatile device in the flexible ac transmission systems (FACTS) which can provide superior power flow and voltage control through its main control. It can also improve power system dynamic performance through its supplementary control. In this paper, a fuzzy supplementary controller is designed for the UPFC to damp tie line power oscillation in the interconnected power systems. The parameters of the fuzzy damping controller (FDC) are optimized using the gradient descent training method and the genetic algorithm, respectively. The UPFC power frequency model, its main and supplementary control block diagrams and the formulation for the FDC parameter optimization are presented. Time simulation on a multi-machine inter-connected power system shows that the two optimization methods converge very well and yield very close FDC parameters and the designed FDC performs well in damping the tie line power oscillation under large disturbances. Computer simulation results also show that the FDC has better robustness under different system operation conditions than its conventional counterpart. © 2004 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/155258
ISSN
2015 Impact Factor: 2.587
2015 SCImago Journal Rankings: 1.741
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorMok, TKen_HK
dc.contributor.authorLiu, Hen_HK
dc.contributor.authorNi, Yen_HK
dc.contributor.authorWu, FFen_HK
dc.contributor.authorHui, Ren_HK
dc.date.accessioned2012-08-08T08:32:34Z-
dc.date.available2012-08-08T08:32:34Z-
dc.date.issued2005en_HK
dc.identifier.citationInternational Journal Of Electrical Power And Energy Systems, 2005, v. 27 n. 4, p. 275-283en_HK
dc.identifier.issn0142-0615en_HK
dc.identifier.urihttp://hdl.handle.net/10722/155258-
dc.description.abstractThe unified power flow controller (UPFC) is the most versatile device in the flexible ac transmission systems (FACTS) which can provide superior power flow and voltage control through its main control. It can also improve power system dynamic performance through its supplementary control. In this paper, a fuzzy supplementary controller is designed for the UPFC to damp tie line power oscillation in the interconnected power systems. The parameters of the fuzzy damping controller (FDC) are optimized using the gradient descent training method and the genetic algorithm, respectively. The UPFC power frequency model, its main and supplementary control block diagrams and the formulation for the FDC parameter optimization are presented. Time simulation on a multi-machine inter-connected power system shows that the two optimization methods converge very well and yield very close FDC parameters and the designed FDC performs well in damping the tie line power oscillation under large disturbances. Computer simulation results also show that the FDC has better robustness under different system operation conditions than its conventional counterpart. © 2004 Elsevier Ltd. All rights reserved.en_HK
dc.languageengen_US
dc.publisherElsevier Ltd. The Journal's web site is located at http://www.elsevier.com/locate/ijepesen_HK
dc.relation.ispartofInternational Journal of Electrical Power and Energy Systemsen_HK
dc.rightsInternational Journal of Electrical Power & Energy Systems. Copyright © Elsevier Ltd.-
dc.subjectFACTSen_HK
dc.subjectFuzzy logic controlen_HK
dc.subjectGenetic algorithmsen_HK
dc.subjectPower system stability and controlen_HK
dc.subjectUPFCen_HK
dc.titleTuning the fuzzy damping controller for UPFC through genetic algorithm with comparison to the gradient descent trainingen_HK
dc.typeArticleen_HK
dc.identifier.emailNi, Y: yxni@eee.hku.hken_HK
dc.identifier.emailWu, FF: ffwu@eee.hku.hken_HK
dc.identifier.emailHui, R: ronhui@hku.hken_HK
dc.identifier.authorityNi, Y=rp00161en_HK
dc.identifier.authorityWu, FF=rp00194en_HK
dc.identifier.authorityHui, R=rp01510en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.ijepes.2004.11.003en_HK
dc.identifier.scopuseid_2-s2.0-14844316014en_HK
dc.identifier.hkuros104077-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-14844316014&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume27en_HK
dc.identifier.issue4en_HK
dc.identifier.spage275en_HK
dc.identifier.epage283en_HK
dc.identifier.isiWOS:000228233800004-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridMok, TK=7006561464en_HK
dc.identifier.scopusauthoridLiu, H=8932403300en_HK
dc.identifier.scopusauthoridNi, Y=7402910021en_HK
dc.identifier.scopusauthoridWu, FF=7403465107en_HK
dc.identifier.scopusauthoridHui, R=7202831744en_HK

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