Neural Network-Based Approach for Identification of the Harmonic Content of a Nonlinear Load in a Single-Phase System

Detalhes bibliográficos
Autor(a) principal: Nascimento, C. F.
Data de Publicação: 2010
Outros Autores: Oliveira, A. A., Goedtel, A., Silva, I. N., Serni, P. J. A. [UNESP]
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/TLA.2010.5453948
http://hdl.handle.net/11449/8935
Resumo: In this paper an alternative method based on artificial neural networks is presented to determine harmonic components in the load current of a single-phase electric power system with nonlinear loads, whose parameters can vary so much in reason of the loads characteristic behaviors as because of the human intervention. The first six components in the load current are determined using the information contained in the time-varying waveforms. The effectiveness of this method is verified by using it in a single-phase active power filter with selective compensation of the current drained by an AC controller. The proposed method is compared with the fast Fourier transform.
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spelling Neural Network-Based Approach for Identification of the Harmonic Content of a Nonlinear Load in a Single-Phase SystemHarmonicspower systemartificial neural networksIn this paper an alternative method based on artificial neural networks is presented to determine harmonic components in the load current of a single-phase electric power system with nonlinear loads, whose parameters can vary so much in reason of the loads characteristic behaviors as because of the human intervention. The first six components in the load current are determined using the information contained in the time-varying waveforms. The effectiveness of this method is verified by using it in a single-phase active power filter with selective compensation of the current drained by an AC controller. The proposed method is compared with the fast Fourier transform.UFABC, Ctr Engn, St Andre, SP, BrazilUSP, Dept Engn Eletr, São Carlos, SP, BrazilUTFPR CP, Dept Electrotecn, Cornelio Procopio, PR, BrazilUNESP FEB, Dept Engn Eletr, Bauru, SP, BrazilUNESP FEB, Dept Engn Eletr, Bauru, SP, BrazilInstitute of Electrical and Electronics Engineers (IEEE)Universidade Federal do ABC (UFABC)Universidade de São Paulo (USP)UTFPR CPUniversidade Estadual Paulista (Unesp)Nascimento, C. F.Oliveira, A. A.Goedtel, A.Silva, I. N.Serni, P. J. A. [UNESP]2014-05-20T13:27:18Z2014-05-20T13:27:18Z2010-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article65-73application/pdfhttp://dx.doi.org/10.1109/TLA.2010.5453948IEEE Latin America Transactions. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc, v. 8, n. 1, p. 65-73, 2010.1548-0992http://hdl.handle.net/11449/893510.1109/TLA.2010.5453948WOS:000277053200010WOS000277053200010.pdf48317899018238490000-0002-9984-9949Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporIEEE Latin America Transactions0.5020,253info:eu-repo/semantics/openAccess2024-01-23T07:13:09Zoai:repositorio.unesp.br:11449/8935Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-01-23T07:13:09Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Neural Network-Based Approach for Identification of the Harmonic Content of a Nonlinear Load in a Single-Phase System
title Neural Network-Based Approach for Identification of the Harmonic Content of a Nonlinear Load in a Single-Phase System
spellingShingle Neural Network-Based Approach for Identification of the Harmonic Content of a Nonlinear Load in a Single-Phase System
Nascimento, C. F.
Harmonics
power system
artificial neural networks
title_short Neural Network-Based Approach for Identification of the Harmonic Content of a Nonlinear Load in a Single-Phase System
title_full Neural Network-Based Approach for Identification of the Harmonic Content of a Nonlinear Load in a Single-Phase System
title_fullStr Neural Network-Based Approach for Identification of the Harmonic Content of a Nonlinear Load in a Single-Phase System
title_full_unstemmed Neural Network-Based Approach for Identification of the Harmonic Content of a Nonlinear Load in a Single-Phase System
title_sort Neural Network-Based Approach for Identification of the Harmonic Content of a Nonlinear Load in a Single-Phase System
author Nascimento, C. F.
author_facet Nascimento, C. F.
Oliveira, A. A.
Goedtel, A.
Silva, I. N.
Serni, P. J. A. [UNESP]
author_role author
author2 Oliveira, A. A.
Goedtel, A.
Silva, I. N.
Serni, P. J. A. [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Federal do ABC (UFABC)
Universidade de São Paulo (USP)
UTFPR CP
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Nascimento, C. F.
Oliveira, A. A.
Goedtel, A.
Silva, I. N.
Serni, P. J. A. [UNESP]
dc.subject.por.fl_str_mv Harmonics
power system
artificial neural networks
topic Harmonics
power system
artificial neural networks
description In this paper an alternative method based on artificial neural networks is presented to determine harmonic components in the load current of a single-phase electric power system with nonlinear loads, whose parameters can vary so much in reason of the loads characteristic behaviors as because of the human intervention. The first six components in the load current are determined using the information contained in the time-varying waveforms. The effectiveness of this method is verified by using it in a single-phase active power filter with selective compensation of the current drained by an AC controller. The proposed method is compared with the fast Fourier transform.
publishDate 2010
dc.date.none.fl_str_mv 2010-03-01
2014-05-20T13:27:18Z
2014-05-20T13:27:18Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/TLA.2010.5453948
IEEE Latin America Transactions. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc, v. 8, n. 1, p. 65-73, 2010.
1548-0992
http://hdl.handle.net/11449/8935
10.1109/TLA.2010.5453948
WOS:000277053200010
WOS000277053200010.pdf
4831789901823849
0000-0002-9984-9949
url http://dx.doi.org/10.1109/TLA.2010.5453948
http://hdl.handle.net/11449/8935
identifier_str_mv IEEE Latin America Transactions. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc, v. 8, n. 1, p. 65-73, 2010.
1548-0992
10.1109/TLA.2010.5453948
WOS:000277053200010
WOS000277053200010.pdf
4831789901823849
0000-0002-9984-9949
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv IEEE Latin America Transactions
0.502
0,253
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 65-73
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (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_ 1799965708766937088

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