A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem
In this paper, a novel multiobjective evolutionary algorithm for optimal reactive power (VAR) dispatch problem is presented. The optimal VAR dispatch problem is formulated as a nonlinear constrained multiobjective optimization problem where the real power loss and the bus voltage deviations are to b...
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| المؤلف الرئيسي: | |
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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/14643/1/14643_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14643/2/14643_2.doc |
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| _version_ | 1864513394233573376 |
|---|---|
| author | Abido, M.A. |
| author2 | Bakhashwain, J.M. unknown |
| author2_role | author author |
| author_facet | Abido, M.A. Bakhashwain, J.M. unknown |
| author_role | author |
| dc.creator.none.fl_str_mv | Abido, M.A. Bakhashwain, J.M. unknown |
| dc.date.none.fl_str_mv | 2003-12 2020 |
| dc.format.none.fl_str_mv | application/pdf application/msword |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/14643/1/14643_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14643/2/14643_2.doc (2003) A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem. Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International conference, 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/14643/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Computer |
| dc.title.none.fl_str_mv | A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem |
| dc.type.none.fl_str_mv | Article PeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | In this paper, a novel multiobjective evolutionary algorithm for optimal reactive power (VAR) dispatch problem is presented. The optimal VAR dispatch problem is formulated as a nonlinear constrained multiobjective optimization problem where the real power loss and the bus voltage deviations are to be minimized simultaneously. A new Strength Pareto Evolutionary Algorithm (SPEA) based approach is proposed to handle the problem as a true multiobjective optimization problem with competing and noncommensurable objectives. A hierarchical clustering algorithm is imposed to provide the decision maker with a representative and manageable Pareto-optimal set. The results demonstrate the capabilities of the proposed approach to generate true and well-distributed Pareto-optimal nondominated solutions in one single run. The results also show the superiority of the proposed approach and confirm its potential to solve the multiobjective VAR dispatch problem. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | KFUPM_7286c8273f36a9b1d53a8dd05f383d4e |
| identifier_str_mv | (2003) A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem. Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International conference, 3. |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai::14643 |
| publishDate | 2003 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problemAbido, M.A.Bakhashwain, J.M.unknownComputerIn this paper, a novel multiobjective evolutionary algorithm for optimal reactive power (VAR) dispatch problem is presented. The optimal VAR dispatch problem is formulated as a nonlinear constrained multiobjective optimization problem where the real power loss and the bus voltage deviations are to be minimized simultaneously. A new Strength Pareto Evolutionary Algorithm (SPEA) based approach is proposed to handle the problem as a true multiobjective optimization problem with competing and noncommensurable objectives. A hierarchical clustering algorithm is imposed to provide the decision maker with a representative and manageable Pareto-optimal set. The results demonstrate the capabilities of the proposed approach to generate true and well-distributed Pareto-optimal nondominated solutions in one single run. The results also show the superiority of the proposed approach and confirm its potential to solve the multiobjective VAR dispatch problem.IEEE2003-122020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14643/1/14643_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14643/2/14643_2.doc (2003) A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem. Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International conference, 3. enenhttps://eprints.kfupm.edu.sa/id/eprint/14643/info:eu-repo/semantics/openAccessoai::146432019-11-01T14:06:46Z |
| spellingShingle | A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem Abido, M.A. Computer |
| status_str | publishedVersion |
| title | A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem |
| title_full | A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem |
| title_fullStr | A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem |
| title_full_unstemmed | A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem |
| title_short | A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem |
| title_sort | A novel multiobjective evolutionary algorithm for optimal reactive power dispatch problem |
| topic | Computer |
| url | https://eprints.kfupm.edu.sa/id/eprint/14643/1/14643_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14643/2/14643_2.doc |