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Article: Analysis of small signal stability margins using genetic optimization

TitleAnalysis of small signal stability margins using genetic optimization
Authors
KeywordsBifurcations
Genetic Algorithms
Power System Security
Stability
Issue Date1998
PublisherElsevier SA. The Journal's web site is located at http://www.elsevier.com/locate/epsr
Citation
Electric Power Systems Research, 1998, v. 46 n. 3, p. 195-204 How to Cite?
AbstractPower system small signal stability analysis aims to explore different small signal stability conditions and controls, namely: (1) exploring the power system security domains and boundaries in the space of power system parameters of interest, including load flow feasibility, saddle node and Hopf bifurcation ones; (2) finding the maximum and minimum damping conditions; and (3) determining control actions to provide and increase small signal stability. These problems are presented in this paper as different modifications of a general optimization to a minimum/maximum, depending on the initial guesses of variables and numerical methods used. In the considered problems, all the extreme points are of interest. Additionally, there are difficulties with finding the derivatives of the objective functions with respect to parameters. Numerical computations of derivatives in traditional optimization procedures are time consuming. In this paper, we propose a new black-box genetic optimization technique for comprehensive small signal stability analysis, which can effectively cope with highly nonlinear objective functions with multiple minima and maxima, and derivatives that can not be expressed analytically. The optimization result can then be used to provide such important information such as system optimal control decision making, assessment of the maximum network's transmission capacity, etc. © 1998 Elsevier Science S.A. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/169662
ISSN
2015 Impact Factor: 1.809
2015 SCImago Journal Rankings: 1.256
References

 

DC FieldValueLanguage
dc.contributor.authorDong, ZYen_US
dc.contributor.authorMakarov, YVen_US
dc.contributor.authorHill, DJen_US
dc.date.accessioned2012-10-25T04:54:04Z-
dc.date.available2012-10-25T04:54:04Z-
dc.date.issued1998en_US
dc.identifier.citationElectric Power Systems Research, 1998, v. 46 n. 3, p. 195-204en_US
dc.identifier.issn0378-7796en_US
dc.identifier.urihttp://hdl.handle.net/10722/169662-
dc.description.abstractPower system small signal stability analysis aims to explore different small signal stability conditions and controls, namely: (1) exploring the power system security domains and boundaries in the space of power system parameters of interest, including load flow feasibility, saddle node and Hopf bifurcation ones; (2) finding the maximum and minimum damping conditions; and (3) determining control actions to provide and increase small signal stability. These problems are presented in this paper as different modifications of a general optimization to a minimum/maximum, depending on the initial guesses of variables and numerical methods used. In the considered problems, all the extreme points are of interest. Additionally, there are difficulties with finding the derivatives of the objective functions with respect to parameters. Numerical computations of derivatives in traditional optimization procedures are time consuming. In this paper, we propose a new black-box genetic optimization technique for comprehensive small signal stability analysis, which can effectively cope with highly nonlinear objective functions with multiple minima and maxima, and derivatives that can not be expressed analytically. The optimization result can then be used to provide such important information such as system optimal control decision making, assessment of the maximum network's transmission capacity, etc. © 1998 Elsevier Science S.A. All rights reserved.en_US
dc.languageengen_US
dc.publisherElsevier SA. The Journal's web site is located at http://www.elsevier.com/locate/epsren_US
dc.relation.ispartofElectric Power Systems Researchen_US
dc.subjectBifurcationsen_US
dc.subjectGenetic Algorithmsen_US
dc.subjectPower System Securityen_US
dc.subjectStabilityen_US
dc.titleAnalysis of small signal stability margins using genetic optimizationen_US
dc.typeArticleen_US
dc.identifier.emailHill, DJ:en_US
dc.identifier.authorityHill, DJ=rp01669en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0032157393en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0032157393&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume46en_US
dc.identifier.issue3en_US
dc.identifier.spage195en_US
dc.identifier.epage204en_US
dc.publisher.placeSwitzerlanden_US
dc.identifier.scopusauthoridDong, ZY=7402274708en_US
dc.identifier.scopusauthoridMakarov, YV=35461311800en_US
dc.identifier.scopusauthoridHill, DJ=35398599500en_US

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