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://dx.doi.org/10.1109/PTC.2013.6652170 http://hdl.handle.net/11449/227397 |
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. © 2013 IEEE. |
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State estimation of distribution networks through the real-time measurements of the smart metersReal-Time State EstimationSmart GridsSmart MeterTransformer 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. © 2013 IEEE.Electrical Engineering Department UNESP/FEIS, Ilha SolteiraElectrical Engineering Department UNESP/FEIS, Ilha SolteiraUniversidade Estadual Paulista (UNESP)Leite, Jonatas Boas [UNESP]Mantovani, Jose Roberto Sanches [UNESP]2022-04-29T07:12:58Z2022-04-29T07:12:58Z2013-12-27info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/PTC.2013.66521702013 IEEE Grenoble Conference PowerTech, POWERTECH 2013.http://hdl.handle.net/11449/22739710.1109/PTC.2013.66521702-s2.0-84890883939Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013info:eu-repo/semantics/openAccess2022-04-29T07:12:58Zoai:repositorio.unesp.br:11449/227397Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462022-04-29T07:12:58Repositório 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] Real-Time State Estimation Smart Grids Smart Meter 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] Mantovani, Jose Roberto Sanches [UNESP] |
author_role |
author |
author2 |
Mantovani, Jose Roberto Sanches [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Leite, Jonatas Boas [UNESP] Mantovani, Jose Roberto Sanches [UNESP] |
dc.subject.por.fl_str_mv |
Real-Time State Estimation Smart Grids Smart Meter Transformer model |
topic |
Real-Time State Estimation Smart Grids Smart Meter 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. © 2013 IEEE. |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-12-27 2022-04-29T07:12:58Z 2022-04-29T07:12:58Z |
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.2013.6652170 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013. http://hdl.handle.net/11449/227397 10.1109/PTC.2013.6652170 2-s2.0-84890883939 |
url |
http://dx.doi.org/10.1109/PTC.2013.6652170 http://hdl.handle.net/11449/227397 |
identifier_str_mv |
2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013. 10.1109/PTC.2013.6652170 2-s2.0-84890883939 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013 |
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_ |
1803046066139955200 |