Optimal design of power system stabilizers using evolutionary programming
The optimal design of power system stabilizers (PSSs) using evolutionary programming (EP) optimization technique is presented in this paper. The proposed approach employs EP to search for optimal settings of PSS parameters that shift the system eigenvalues associated with the electromechanical modes...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| التنسيق: | article |
| منشور في: |
2002
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://eprints.kfupm.edu.sa/id/eprint/14231/1/14231_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14231/2/14231_2.doc |
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| _version_ | 1864513384068677632 |
|---|---|
| author | Abido, M.A. |
| author2 | Abdel-Magid, Y.L. unknown |
| author2_role | author author |
| author_facet | Abido, M.A. Abdel-Magid, Y.L. unknown |
| author_role | author |
| dc.creator.none.fl_str_mv | Abido, M.A. Abdel-Magid, Y.L. unknown |
| dc.date.none.fl_str_mv | 2002-12 2020 |
| dc.format.none.fl_str_mv | application/pdf application/msword |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/14231/1/14231_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14231/2/14231_2.doc (2002) Optimal design of power system stabilizers using evolutionary programming. Energy Conversion, IEEE Transaction on, 17. |
| 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/14231/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Computer |
| dc.title.none.fl_str_mv | Optimal design of power system stabilizers using evolutionary programming |
| dc.type.none.fl_str_mv | Article PeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | The optimal design of power system stabilizers (PSSs) using evolutionary programming (EP) optimization technique is presented in this paper. The proposed approach employs EP to search for optimal settings of PSS parameters that shift the system eigenvalues associated with the electromechanical modes to the left in the s-plane. Incorporation of EP algorithm in the design of PSSs significantly reduces the computational burden. The performance of the proposed PSSs under different disturbances, loading conditions, and system configurations is investigated for a multimachine power system. The eigenvalue analysis and the nonlinear simulation results show the effectiveness and robustness of the proposed PSSs to damp out the local as well as the interarea modes of oscillations and work effectively over a wide range of loading conditions and system configurations. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | KFUPM_cb06cfe910f1728811ca3c9352f64e85 |
| identifier_str_mv | (2002) Optimal design of power system stabilizers using evolutionary programming. Energy Conversion, IEEE Transaction on, 17. |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai::14231 |
| publishDate | 2002 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Optimal design of power system stabilizers using evolutionary programmingAbido, M.A.Abdel-Magid, Y.L.unknownComputerThe optimal design of power system stabilizers (PSSs) using evolutionary programming (EP) optimization technique is presented in this paper. The proposed approach employs EP to search for optimal settings of PSS parameters that shift the system eigenvalues associated with the electromechanical modes to the left in the s-plane. Incorporation of EP algorithm in the design of PSSs significantly reduces the computational burden. The performance of the proposed PSSs under different disturbances, loading conditions, and system configurations is investigated for a multimachine power system. The eigenvalue analysis and the nonlinear simulation results show the effectiveness and robustness of the proposed PSSs to damp out the local as well as the interarea modes of oscillations and work effectively over a wide range of loading conditions and system configurations.IEEE2002-122020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14231/1/14231_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14231/2/14231_2.doc (2002) Optimal design of power system stabilizers using evolutionary programming. Energy Conversion, IEEE Transaction on, 17. enenhttps://eprints.kfupm.edu.sa/id/eprint/14231/info:eu-repo/semantics/openAccessoai::142312019-11-01T14:04:50Z |
| spellingShingle | Optimal design of power system stabilizers using evolutionary programming Abido, M.A. Computer |
| status_str | publishedVersion |
| title | Optimal design of power system stabilizers using evolutionary programming |
| title_full | Optimal design of power system stabilizers using evolutionary programming |
| title_fullStr | Optimal design of power system stabilizers using evolutionary programming |
| title_full_unstemmed | Optimal design of power system stabilizers using evolutionary programming |
| title_short | Optimal design of power system stabilizers using evolutionary programming |
| title_sort | Optimal design of power system stabilizers using evolutionary programming |
| topic | Computer |
| url | https://eprints.kfupm.edu.sa/id/eprint/14231/1/14231_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14231/2/14231_2.doc |