Radial basis function network based power system stabilizers formultimachine power systems
A radial basis function network (RBFN) based power system stabilizer (PSS) is presented in this paper to improve the dynamic stability of multimachine power systems. The proposed RBFN is trained over a wide range of operating conditions in order to re-tune the parameters of the PSS in real-time. Tim...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| التنسيق: | article |
| منشور في: |
1997
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://eprints.kfupm.edu.sa/id/eprint/14313/1/14313_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14313/2/14313_2.doc |
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| _version_ | 1864513402803585024 |
|---|---|
| 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 | 1997-06 2020 |
| dc.format.none.fl_str_mv | application/pdf application/msword |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/14313/1/14313_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14313/2/14313_2.doc (1997) Radial basis function network based power system stabilizers formultimachine power systems. Neural Networks,1997., International conference, 2. |
| 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/14313/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Computer |
| dc.title.none.fl_str_mv | Radial basis function network based power system stabilizers formultimachine power systems |
| dc.type.none.fl_str_mv | Article PeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | A radial basis function network (RBFN) based power system stabilizer (PSS) is presented in this paper to improve the dynamic stability of multimachine power systems. The proposed RBFN is trained over a wide range of operating conditions in order to re-tune the parameters of the PSS in real-time. Time domain simulations of a multimachine power system with different operating conditions subject to a three phase fault are studied and investigated. The performance of the proposed RBFN PSS is compared to that of conventional power system stabilizer (CPSS). The results show the good damping characteristics of the proposed RBFN PSS over a wide range of operating conditions |
| eu_rights_str_mv | openAccess |
| format | article |
| id | KFUPM_ef7c9a7c9414b71109c107c811faba07 |
| identifier_str_mv | (1997) Radial basis function network based power system stabilizers formultimachine power systems. Neural Networks,1997., International conference, 2. |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai::14313 |
| publishDate | 1997 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Radial basis function network based power system stabilizers formultimachine power systemsAbido, M.A.Abdel-Magid, Y.L.unknownComputerA radial basis function network (RBFN) based power system stabilizer (PSS) is presented in this paper to improve the dynamic stability of multimachine power systems. The proposed RBFN is trained over a wide range of operating conditions in order to re-tune the parameters of the PSS in real-time. Time domain simulations of a multimachine power system with different operating conditions subject to a three phase fault are studied and investigated. The performance of the proposed RBFN PSS is compared to that of conventional power system stabilizer (CPSS). The results show the good damping characteristics of the proposed RBFN PSS over a wide range of operating conditionsIEEE1997-062020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14313/1/14313_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14313/2/14313_2.doc (1997) Radial basis function network based power system stabilizers formultimachine power systems. Neural Networks,1997., International conference, 2. enenhttps://eprints.kfupm.edu.sa/id/eprint/14313/info:eu-repo/semantics/openAccessoai::143132019-11-01T14:05:17Z |
| spellingShingle | Radial basis function network based power system stabilizers formultimachine power systems Abido, M.A. Computer |
| status_str | publishedVersion |
| title | Radial basis function network based power system stabilizers formultimachine power systems |
| title_full | Radial basis function network based power system stabilizers formultimachine power systems |
| title_fullStr | Radial basis function network based power system stabilizers formultimachine power systems |
| title_full_unstemmed | Radial basis function network based power system stabilizers formultimachine power systems |
| title_short | Radial basis function network based power system stabilizers formultimachine power systems |
| title_sort | Radial basis function network based power system stabilizers formultimachine power systems |
| topic | Computer |
| url | https://eprints.kfupm.edu.sa/id/eprint/14313/1/14313_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14313/2/14313_2.doc |