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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| مؤلفون آخرون: | , |
| التنسيق: | article |
| منشور في: |
2003
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| 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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| _version_ | 1864513393766957056 |
|---|---|
| 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 |
| format | article |
| id | KFUPM_c41a59819544e383ab6646c015fb2b9e |
| 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 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| 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 |