Transmission line parameter error detection, identification and correction with geometrical view: Topological errors
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/PTC.2015.7232273 http://hdl.handle.net/11449/168239 |
Resumo: | In this paper it is proposed an approach to detect, identify and correct series and shunt branch parameter errors of a transmission line using a geometrical view. Firstly it is tested if any of the measurement equations have a gross error using the J(x) index, but with the measurement error as the objective function. Next, to conclude for transmission line i-j parameter error, the corresponding measurements associated to that line should have the Composed Normalized Error CNEi-j superior to the chosen threshold value. Also, the error will spread to the measurements of the neighborhood. The correction in the parameter is made using the corresponding measurement CNE. The proposed approach uses only one measurement snapshot. Using the geometrical view, two kinds of topological errors are analyzed: (i) very large parameter errors; (ii) short circuit of a line. To test the procedure efficiency the IEEE 39-bus network will be used. |
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Repositório Institucional da UNESP |
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Transmission line parameter error detection, identification and correction with geometrical view: Topological errorsBad Data DetectionGeometric InterpretationInnovation IndexParameter Error Detection and IdentificationParameter EstimationState EstimationIn this paper it is proposed an approach to detect, identify and correct series and shunt branch parameter errors of a transmission line using a geometrical view. Firstly it is tested if any of the measurement equations have a gross error using the J(x) index, but with the measurement error as the objective function. Next, to conclude for transmission line i-j parameter error, the corresponding measurements associated to that line should have the Composed Normalized Error CNEi-j superior to the chosen threshold value. Also, the error will spread to the measurements of the neighborhood. The correction in the parameter is made using the corresponding measurement CNE. The proposed approach uses only one measurement snapshot. Using the geometrical view, two kinds of topological errors are analyzed: (i) very large parameter errors; (ii) short circuit of a line. To test the procedure efficiency the IEEE 39-bus network will be used.Department of Electrical and Computing Engineering Engineering School of São Carlos EESC-USPDepartment of Electrical Engineering São Paulo State University UNESPDepartment of Electrical Engineering São Paulo State University UNESPUniversidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Bretas, Newton G.Martins, Andre C.P. [UNESP]2018-12-11T16:40:23Z2018-12-11T16:40:23Z2015-08-31info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/PTC.2015.72322732015 IEEE Eindhoven PowerTech, PowerTech 2015.http://hdl.handle.net/11449/16823910.1109/PTC.2015.72322732-s2.0-84951325779Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2015 IEEE Eindhoven PowerTech, PowerTech 2015info:eu-repo/semantics/openAccess2021-10-23T21:47:00Zoai:repositorio.unesp.br:11449/168239Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:47Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Transmission line parameter error detection, identification and correction with geometrical view: Topological errors |
title |
Transmission line parameter error detection, identification and correction with geometrical view: Topological errors |
spellingShingle |
Transmission line parameter error detection, identification and correction with geometrical view: Topological errors Bretas, Newton G. Bad Data Detection Geometric Interpretation Innovation Index Parameter Error Detection and Identification Parameter Estimation State Estimation |
title_short |
Transmission line parameter error detection, identification and correction with geometrical view: Topological errors |
title_full |
Transmission line parameter error detection, identification and correction with geometrical view: Topological errors |
title_fullStr |
Transmission line parameter error detection, identification and correction with geometrical view: Topological errors |
title_full_unstemmed |
Transmission line parameter error detection, identification and correction with geometrical view: Topological errors |
title_sort |
Transmission line parameter error detection, identification and correction with geometrical view: Topological errors |
author |
Bretas, Newton G. |
author_facet |
Bretas, Newton G. Martins, Andre C.P. [UNESP] |
author_role |
author |
author2 |
Martins, Andre C.P. [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade de São Paulo (USP) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Bretas, Newton G. Martins, Andre C.P. [UNESP] |
dc.subject.por.fl_str_mv |
Bad Data Detection Geometric Interpretation Innovation Index Parameter Error Detection and Identification Parameter Estimation State Estimation |
topic |
Bad Data Detection Geometric Interpretation Innovation Index Parameter Error Detection and Identification Parameter Estimation State Estimation |
description |
In this paper it is proposed an approach to detect, identify and correct series and shunt branch parameter errors of a transmission line using a geometrical view. Firstly it is tested if any of the measurement equations have a gross error using the J(x) index, but with the measurement error as the objective function. Next, to conclude for transmission line i-j parameter error, the corresponding measurements associated to that line should have the Composed Normalized Error CNEi-j superior to the chosen threshold value. Also, the error will spread to the measurements of the neighborhood. The correction in the parameter is made using the corresponding measurement CNE. The proposed approach uses only one measurement snapshot. Using the geometrical view, two kinds of topological errors are analyzed: (i) very large parameter errors; (ii) short circuit of a line. To test the procedure efficiency the IEEE 39-bus network will be used. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-08-31 2018-12-11T16:40:23Z 2018-12-11T16:40:23Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/PTC.2015.7232273 2015 IEEE Eindhoven PowerTech, PowerTech 2015. http://hdl.handle.net/11449/168239 10.1109/PTC.2015.7232273 2-s2.0-84951325779 |
url |
http://dx.doi.org/10.1109/PTC.2015.7232273 http://hdl.handle.net/11449/168239 |
identifier_str_mv |
2015 IEEE Eindhoven PowerTech, PowerTech 2015. 10.1109/PTC.2015.7232273 2-s2.0-84951325779 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2015 IEEE Eindhoven PowerTech, PowerTech 2015 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799965405280731136 |