Particle swarm optimization for multimachine power systemstabilizer design
In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine power system stabilizers (PSSs) is proposed. The proposed approach develops and employs particle swarm optimization (PSO) technique to search for optimal settings of PSS parameters. Two eigenvalue-based ob...
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| Format: | article |
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2001
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| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/14726/1/14726_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14726/2/14726_2.doc |
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| _version_ | 1864513394268176384 |
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| author | Abido, A.A. |
| author2 | unknown |
| author2_role | author |
| author_facet | Abido, A.A. unknown |
| author_role | author |
| dc.creator.none.fl_str_mv | Abido, A.A. unknown |
| dc.date.none.fl_str_mv | 2001 2020 |
| dc.format.none.fl_str_mv | application/pdf application/msword |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/14726/1/14726_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14726/2/14726_2.doc (2001) Particle swarm optimization for multimachine power systemstabilizer design. Power Engineering Society Summer Meeting, 2001. IEEE, 3. |
| 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/14726/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Computer |
| dc.title.none.fl_str_mv | Particle swarm optimization for multimachine power systemstabilizer design |
| dc.type.none.fl_str_mv | Article PeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine power system stabilizers (PSSs) is proposed. The proposed approach develops and employs particle swarm optimization (PSO) technique to search for optimal settings of PSS parameters. Two eigenvalue-based objective functions to enhance system damping of electromechanical modes are considered. The robustness of the proposed approach to the initial guess is demonstrated. The performance of the proposed PSO based PSS (PSOPSS) under different disturbances and loading conditions is tested and examined. Eigenvalue analysis and nonlinear simulation results show the effectiveness of the proposed PSOPSSs to damp out the electromechanical oscillations and work effectively over a wide range of loading conditions |
| eu_rights_str_mv | openAccess |
| format | article |
| id | KFUPM_e4af2fb59ed4890bb54bd469d54cd97a |
| identifier_str_mv | (2001) Particle swarm optimization for multimachine power systemstabilizer design. Power Engineering Society Summer Meeting, 2001. IEEE, 3. |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai::14726 |
| publishDate | 2001 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Particle swarm optimization for multimachine power systemstabilizer designAbido, A.A.unknownComputerIn this paper, a novel evolutionary algorithm based approach to optimal design of multimachine power system stabilizers (PSSs) is proposed. The proposed approach develops and employs particle swarm optimization (PSO) technique to search for optimal settings of PSS parameters. Two eigenvalue-based objective functions to enhance system damping of electromechanical modes are considered. The robustness of the proposed approach to the initial guess is demonstrated. The performance of the proposed PSO based PSS (PSOPSS) under different disturbances and loading conditions is tested and examined. Eigenvalue analysis and nonlinear simulation results show the effectiveness of the proposed PSOPSSs to damp out the electromechanical oscillations and work effectively over a wide range of loading conditionsIEEE20012020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14726/1/14726_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14726/2/14726_2.doc (2001) Particle swarm optimization for multimachine power systemstabilizer design. Power Engineering Society Summer Meeting, 2001. IEEE, 3. enenhttps://eprints.kfupm.edu.sa/id/eprint/14726/info:eu-repo/semantics/openAccessoai::147262019-11-01T14:07:08Z |
| spellingShingle | Particle swarm optimization for multimachine power systemstabilizer design Abido, A.A. Computer |
| status_str | publishedVersion |
| title | Particle swarm optimization for multimachine power systemstabilizer design |
| title_full | Particle swarm optimization for multimachine power systemstabilizer design |
| title_fullStr | Particle swarm optimization for multimachine power systemstabilizer design |
| title_full_unstemmed | Particle swarm optimization for multimachine power systemstabilizer design |
| title_short | Particle swarm optimization for multimachine power systemstabilizer design |
| title_sort | Particle swarm optimization for multimachine power systemstabilizer design |
| topic | Computer |
| url | https://eprints.kfupm.edu.sa/id/eprint/14726/1/14726_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14726/2/14726_2.doc |