Observability analysis for state estimation using linearprogramming
The linear programming technique is used to analyse the observability of power system state estimation networks. This technique has the capability of identifying the observable islands of the system network. It can also identify the necessary branches or nodes needed for pseudomeasurement placement...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| التنسيق: | article |
| منشور في: |
2001
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://eprints.kfupm.edu.sa/id/eprint/14732/1/14732_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14732/2/14732_2.doc |
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| _version_ | 1864513394275516417 |
|---|---|
| author | Habiballah, I.O. |
| author2 | Irving, M.R. unknown |
| author2_role | author author |
| author_facet | Habiballah, I.O. Irving, M.R. unknown |
| author_role | author |
| dc.creator.none.fl_str_mv | Habiballah, I.O. Irving, M.R. unknown |
| dc.date.none.fl_str_mv | 2001-03 2020 |
| dc.format.none.fl_str_mv | application/pdf application/msword |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/14732/1/14732_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14732/2/14732_2.doc (2001) Observability analysis for state estimation using linearprogramming. Generation, Transmission and Distribution, IEE Proceedings-, 148. |
| 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/14732/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Computer |
| dc.title.none.fl_str_mv | Observability analysis for state estimation using linearprogramming |
| dc.type.none.fl_str_mv | Article PeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | The linear programming technique is used to analyse the observability of power system state estimation networks. This technique has the capability of identifying the observable islands of the system network. It can also identify the necessary branches or nodes needed for pseudomeasurement placement to recover the overall system observability. The technique manipulates only integer numbers. It uses the network connectivity matrix and the measurement Jacobian matrix as equality constraints. Computational aspects of the proposed technique are presented and results of several examples are reported |
| eu_rights_str_mv | openAccess |
| format | article |
| id | KFUPM_47f501b499eced7d0529481cee3cc1dd |
| identifier_str_mv | (2001) Observability analysis for state estimation using linearprogramming. Generation, Transmission and Distribution, IEE Proceedings-, 148. |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai::14732 |
| publishDate | 2001 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Observability analysis for state estimation using linearprogrammingHabiballah, I.O.Irving, M.R.unknownComputerThe linear programming technique is used to analyse the observability of power system state estimation networks. This technique has the capability of identifying the observable islands of the system network. It can also identify the necessary branches or nodes needed for pseudomeasurement placement to recover the overall system observability. The technique manipulates only integer numbers. It uses the network connectivity matrix and the measurement Jacobian matrix as equality constraints. Computational aspects of the proposed technique are presented and results of several examples are reportedIEEE2001-032020ArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/mswordhttps://eprints.kfupm.edu.sa/id/eprint/14732/1/14732_1.pdfhttps://eprints.kfupm.edu.sa/id/eprint/14732/2/14732_2.doc (2001) Observability analysis for state estimation using linearprogramming. Generation, Transmission and Distribution, IEE Proceedings-, 148. enenhttps://eprints.kfupm.edu.sa/id/eprint/14732/info:eu-repo/semantics/openAccessoai::147322019-11-01T14:07:11Z |
| spellingShingle | Observability analysis for state estimation using linearprogramming Habiballah, I.O. Computer |
| status_str | publishedVersion |
| title | Observability analysis for state estimation using linearprogramming |
| title_full | Observability analysis for state estimation using linearprogramming |
| title_fullStr | Observability analysis for state estimation using linearprogramming |
| title_full_unstemmed | Observability analysis for state estimation using linearprogramming |
| title_short | Observability analysis for state estimation using linearprogramming |
| title_sort | Observability analysis for state estimation using linearprogramming |
| topic | Computer |
| url | https://eprints.kfupm.edu.sa/id/eprint/14732/1/14732_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14732/2/14732_2.doc |