State Estimation of Distribution Networks through the Real-Time Measurements of the Smart Meters
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/196090 |
Resumo: | Smart Grids support the active participation of end customers in the energy market. The smart meters that are the most important devices of the advanced metering infrastructure (AMI) monitor the loads and energy resources. Therefore, the smart meters measure the states of a distribution network. Thereby, this work proposes the development of an algorithm that builds a scheme to estimate the states of all elements of a distribution network through the real-time measurement data. The performance of this scheme is faster than the traditional methods because this scheme of state estimation is not interactive. Moreover, the proposed algorithm is capable of building this scheme even after it has lost the communication with some smart meters once the measurement data are redundant. Lastly, the efficiency of the proposed methodology is result of a model of the distribution transformer that connects the medium-voltage (MV) and low-voltage (LV) networks. |
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Repositório Institucional da UNESP |
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State Estimation of Distribution Networks through the Real-Time Measurements of the Smart MetersSmart GridsSmart MeterReal-Time State EstimationTransformer modelSmart Grids support the active participation of end customers in the energy market. The smart meters that are the most important devices of the advanced metering infrastructure (AMI) monitor the loads and energy resources. Therefore, the smart meters measure the states of a distribution network. Thereby, this work proposes the development of an algorithm that builds a scheme to estimate the states of all elements of a distribution network through the real-time measurement data. The performance of this scheme is faster than the traditional methods because this scheme of state estimation is not interactive. Moreover, the proposed algorithm is capable of building this scheme even after it has lost the communication with some smart meters once the measurement data are redundant. Lastly, the efficiency of the proposed methodology is result of a model of the distribution transformer that connects the medium-voltage (MV) and low-voltage (LV) networks.UNESP FEIS, Dept Elect Engn, Ilha Solteira, BrazilUNESP FEIS, Dept Elect Engn, Ilha Solteira, BrazilIeeeUniversidade Estadual Paulista (Unesp)Leite, Jonatas Boas [UNESP]Sanches Mantovani, Jose Roberto [UNESP]IEEE2020-12-10T19:33:03Z2020-12-10T19:33:03Z2013-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject62013 Ieee Grenoble Powertech (powertech). New York: Ieee, 6 p., 2013.http://hdl.handle.net/11449/196090WOS:000387091900091Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2013 Ieee Grenoble Powertech (powertech)info:eu-repo/semantics/openAccess2024-07-04T19:11:44Zoai:repositorio.unesp.br:11449/196090Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:37:22.880579Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
State Estimation of Distribution Networks through the Real-Time Measurements of the Smart Meters |
title |
State Estimation of Distribution Networks through the Real-Time Measurements of the Smart Meters |
spellingShingle |
State Estimation of Distribution Networks through the Real-Time Measurements of the Smart Meters Leite, Jonatas Boas [UNESP] Smart Grids Smart Meter Real-Time State Estimation Transformer model |
title_short |
State Estimation of Distribution Networks through the Real-Time Measurements of the Smart Meters |
title_full |
State Estimation of Distribution Networks through the Real-Time Measurements of the Smart Meters |
title_fullStr |
State Estimation of Distribution Networks through the Real-Time Measurements of the Smart Meters |
title_full_unstemmed |
State Estimation of Distribution Networks through the Real-Time Measurements of the Smart Meters |
title_sort |
State Estimation of Distribution Networks through the Real-Time Measurements of the Smart Meters |
author |
Leite, Jonatas Boas [UNESP] |
author_facet |
Leite, Jonatas Boas [UNESP] Sanches Mantovani, Jose Roberto [UNESP] IEEE |
author_role |
author |
author2 |
Sanches Mantovani, Jose Roberto [UNESP] IEEE |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Leite, Jonatas Boas [UNESP] Sanches Mantovani, Jose Roberto [UNESP] IEEE |
dc.subject.por.fl_str_mv |
Smart Grids Smart Meter Real-Time State Estimation Transformer model |
topic |
Smart Grids Smart Meter Real-Time State Estimation Transformer model |
description |
Smart Grids support the active participation of end customers in the energy market. The smart meters that are the most important devices of the advanced metering infrastructure (AMI) monitor the loads and energy resources. Therefore, the smart meters measure the states of a distribution network. Thereby, this work proposes the development of an algorithm that builds a scheme to estimate the states of all elements of a distribution network through the real-time measurement data. The performance of this scheme is faster than the traditional methods because this scheme of state estimation is not interactive. Moreover, the proposed algorithm is capable of building this scheme even after it has lost the communication with some smart meters once the measurement data are redundant. Lastly, the efficiency of the proposed methodology is result of a model of the distribution transformer that connects the medium-voltage (MV) and low-voltage (LV) networks. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-01-01 2020-12-10T19:33:03Z 2020-12-10T19:33:03Z |
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 |
2013 Ieee Grenoble Powertech (powertech). New York: Ieee, 6 p., 2013. http://hdl.handle.net/11449/196090 WOS:000387091900091 |
identifier_str_mv |
2013 Ieee Grenoble Powertech (powertech). New York: Ieee, 6 p., 2013. WOS:000387091900091 |
url |
http://hdl.handle.net/11449/196090 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2013 Ieee Grenoble Powertech (powertech) |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
6 |
dc.publisher.none.fl_str_mv |
Ieee |
publisher.none.fl_str_mv |
Ieee |
dc.source.none.fl_str_mv |
Web of Science 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_ |
1808129096525283328 |