Optimal multiobjective design of robust power system stabilizers using genetic algorithms

Optimal multiobjective design of robust multimachine power system stabilizers (PSSs) using genetic algorithms is presented in this paper. A conventional speed-based lead-lag PSS is used in this work. The multimachine power system operating at various loading conditions and system configurations is t...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي: Abdel-Magid, Y.L. (author)
مؤلفون آخرون: Abido, M.A. (author), unknown (author)
التنسيق: article
منشور في: 2003
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/14430/1/14430_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14430/2/14430_2.doc
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author Abdel-Magid, Y.L.
author2 Abido, M.A.
unknown
author2_role author
author
author_facet Abdel-Magid, Y.L.
Abido, M.A.
unknown
author_role author
dc.creator.none.fl_str_mv Abdel-Magid, Y.L.
Abido, M.A.
unknown
dc.date.none.fl_str_mv 2003-08
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14430/1/14430_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14430/2/14430_2.doc
(2003) Optimal multiobjective design of robust power system stabilizers using genetic algorithms. Power Systems, IEEE Transactions on, 18.
dc.language.none.fl_str_mv en
en
dc.publisher.none.fl_str_mv IEEE
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14430/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
dc.title.none.fl_str_mv Optimal multiobjective design of robust power system stabilizers using genetic algorithms
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Optimal multiobjective design of robust multimachine power system stabilizers (PSSs) using genetic algorithms is presented in this paper. A conventional speed-based lead-lag PSS is used in this work. The multimachine power system operating at various loading conditions and system configurations is treated as a finite set of plants. The stabilizers are tuned to simultaneously shift the lightly damped and undamped electromechanical modes of all plants to a prescribed zone in the s-plane. A multiobjective problem is formulated to optimize a composite set of objective functions comprising the damping factor, and the damping ratio of the lightly damped electromechanical modes. The problem of robustly selecting the parameters of the power system stabilizers is converted to an optimization problem which is solved by a genetic algorithm with the eigenvalue-based multiobjective function. The effectiveness of the suggested technique in damping local and interarea modes of oscillations in multimachine power systems, over a wide range of loading conditions and system configurations, is confirmed through eigenvalue analysis and nonlinear simulation results.
eu_rights_str_mv openAccess
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identifier_str_mv (2003) Optimal multiobjective design of robust power system stabilizers using genetic algorithms. Power Systems, IEEE Transactions on, 18.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::14430
publishDate 2003
publisher.none.fl_str_mv IEEE
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spelling Optimal multiobjective design of robust power system stabilizers using genetic algorithmsAbdel-Magid, Y.L.Abido, M.A.unknownComputerOptimal multiobjective design of robust multimachine power system stabilizers (PSSs) using genetic algorithms is presented in this paper. A conventional speed-based lead-lag PSS is used in this work. The multimachine power system operating at various loading conditions and system configurations is treated as a finite set of plants. The stabilizers are tuned to simultaneously shift the lightly damped and undamped electromechanical modes of all plants to a prescribed zone in the s-plane. A multiobjective problem is formulated to optimize a composite set of objective functions comprising the damping factor, and the damping ratio of the lightly damped electromechanical modes. The problem of robustly selecting the parameters of the power system stabilizers is converted to an optimization problem which is solved by a genetic algorithm with the eigenvalue-based multiobjective function. The effectiveness of the suggested technique in damping local and interarea modes of oscillations in multimachine power systems, over a wide range of loading conditions and system configurations, is confirmed through eigenvalue analysis and nonlinear simulation results.IEEE2003-082020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14430/1/14430_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14430/2/14430_2.doc (2003) Optimal multiobjective design of robust power system stabilizers using genetic algorithms. Power Systems, IEEE Transactions on, 18. enenhttps://eprints.kfupm.edu.sa/id/eprint/14430/info:eu-repo/semantics/openAccessoai::144302019-11-01T14:05:45Z
spellingShingle Optimal multiobjective design of robust power system stabilizers using genetic algorithms
Abdel-Magid, Y.L.
Computer
status_str publishedVersion
title Optimal multiobjective design of robust power system stabilizers using genetic algorithms
title_full Optimal multiobjective design of robust power system stabilizers using genetic algorithms
title_fullStr Optimal multiobjective design of robust power system stabilizers using genetic algorithms
title_full_unstemmed Optimal multiobjective design of robust power system stabilizers using genetic algorithms
title_short Optimal multiobjective design of robust power system stabilizers using genetic algorithms
title_sort Optimal multiobjective design of robust power system stabilizers using genetic algorithms
topic Computer
url https://eprints.kfupm.edu.sa/id/eprint/14430/1/14430_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14430/2/14430_2.doc