Power system output feedback stabilizer design via geneticalgorithms

The paper demonstrates the use of genetic algorithms to design output feedback power system stabilizers. Two methods are presented: in the first method, the problem is formulated as an optimization problem with a standard infinite time quadratic objective function. A digital simulation of the power...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي: Abdel-Magid, Y.L. (author)
مؤلفون آخرون: Bettayeb, M. (author), Selim, S.Z. (author), unknown (author)
التنسيق: article
منشور في: 1997
الموضوعات:
الوصول للمادة أونلاين:https://eprints.kfupm.edu.sa/id/eprint/14309/1/14309_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14309/2/14309_2.doc
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author Abdel-Magid, Y.L.
author2 Bettayeb, M.
Selim, S.Z.
unknown
author2_role author
author
author
author_facet Abdel-Magid, Y.L.
Bettayeb, M.
Selim, S.Z.
unknown
author_role author
dc.creator.none.fl_str_mv Abdel-Magid, Y.L.
Bettayeb, M.
Selim, S.Z.
unknown
dc.date.none.fl_str_mv 1997-09
2020
dc.format.none.fl_str_mv application/pdf
application/msword
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/14309/1/14309_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14309/2/14309_2.doc
(1997) Power system output feedback stabilizer design via geneticalgorithms. Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446), 1.
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/14309/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
dc.title.none.fl_str_mv Power system output feedback stabilizer design via geneticalgorithms
dc.type.none.fl_str_mv Article
PeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description The paper demonstrates the use of genetic algorithms to design output feedback power system stabilizers. Two methods are presented: in the first method, the problem is formulated as an optimization problem with a standard infinite time quadratic objective function. A digital simulation of the power system is then used in conjunction with the genetic algorithm to determine the output feedback gains. In the second method, the problem of selecting the output feedback gains is converted to a simple optimization problem with an eigenvalue based objective function, which is solved by a genetic algorithm. The design method does not need the specification of weighting matrices. Various objective functions are presented allowing the selection of the output feedback gains to place the closed loop eigenvalues in the left hand side of a vertical line in the complex s plane, within an open sector in the complex s plane, or within a vertical strip in the complex s plane. The effectiveness of the output feedback stabilizer in enhancing the dynamic stability of power systems is verified through eigenvalue analysis and simulation results
eu_rights_str_mv openAccess
format article
id KFUPM_c84f038eb503be058bf591976496d684
identifier_str_mv (1997) Power system output feedback stabilizer design via geneticalgorithms. Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446), 1.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::14309
publishDate 1997
publisher.none.fl_str_mv IEEE
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Power system output feedback stabilizer design via geneticalgorithmsAbdel-Magid, Y.L.Bettayeb, M.Selim, S.Z.unknownComputerThe paper demonstrates the use of genetic algorithms to design output feedback power system stabilizers. Two methods are presented: in the first method, the problem is formulated as an optimization problem with a standard infinite time quadratic objective function. A digital simulation of the power system is then used in conjunction with the genetic algorithm to determine the output feedback gains. In the second method, the problem of selecting the output feedback gains is converted to a simple optimization problem with an eigenvalue based objective function, which is solved by a genetic algorithm. The design method does not need the specification of weighting matrices. Various objective functions are presented allowing the selection of the output feedback gains to place the closed loop eigenvalues in the left hand side of a vertical line in the complex s plane, within an open sector in the complex s plane, or within a vertical strip in the complex s plane. The effectiveness of the output feedback stabilizer in enhancing the dynamic stability of power systems is verified through eigenvalue analysis and simulation resultsIEEE1997-092020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14309/1/14309_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14309/2/14309_2.doc (1997) Power system output feedback stabilizer design via geneticalgorithms. Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446), 1. enenhttps://eprints.kfupm.edu.sa/id/eprint/14309/info:eu-repo/semantics/openAccessoai::143092019-11-01T14:05:16Z
spellingShingle Power system output feedback stabilizer design via geneticalgorithms
Abdel-Magid, Y.L.
Computer
status_str publishedVersion
title Power system output feedback stabilizer design via geneticalgorithms
title_full Power system output feedback stabilizer design via geneticalgorithms
title_fullStr Power system output feedback stabilizer design via geneticalgorithms
title_full_unstemmed Power system output feedback stabilizer design via geneticalgorithms
title_short Power system output feedback stabilizer design via geneticalgorithms
title_sort Power system output feedback stabilizer design via geneticalgorithms
topic Computer
url https://eprints.kfupm.edu.sa/id/eprint/14309/1/14309_1.pdf
https://eprints.kfupm.edu.sa/id/eprint/14309/2/14309_2.doc