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

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dc.contributor.authorNascimento, C. F.
dc.contributor.authorOliveira, A. A.
dc.contributor.authorGoedtel, A.
dc.contributor.authorSilva, I. N.
dc.contributor.authorSerni, P. J. A. [UNESP]
dc.contributor.institutionUniversidade Federal do ABC (UFABC)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUTFPR CP
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:27:18Z
dc.date.available2014-05-20T13:27:18Z
dc.date.issued2010-03-01
dc.description.abstractIn 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.en
dc.description.affiliationUFABC, Ctr Engn, St Andre, SP, Brazil
dc.description.affiliationUSP, Dept Engn Eletr, São Carlos, SP, Brazil
dc.description.affiliationUTFPR CP, Dept Electrotecn, Cornelio Procopio, PR, Brazil
dc.description.affiliationUNESP FEB, Dept Engn Eletr, Bauru, SP, Brazil
dc.description.affiliationUnespUNESP FEB, Dept Engn Eletr, Bauru, SP, Brazil
dc.format.extent65-73
dc.identifierhttp://dx.doi.org/10.1109/TLA.2010.5453948
dc.identifier.citationIEEE Latin America Transactions. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc, v. 8, n. 1, p. 65-73, 2010.
dc.identifier.doi10.1109/TLA.2010.5453948
dc.identifier.fileWOS000277053200010.pdf
dc.identifier.issn1548-0992
dc.identifier.lattes4831789901823849
dc.identifier.orcid0000-0002-9984-9949
dc.identifier.urihttp://hdl.handle.net/11449/8935
dc.identifier.wosWOS:000277053200010
dc.language.isopor
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIEEE Latin America Transactions
dc.relation.ispartofjcr0.502
dc.relation.ispartofsjr0,253
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectHarmonicsen
dc.subjectpower systemen
dc.subjectartificial neural networksen
dc.titleNeural Network-Based Approach for Identification of the Harmonic Content of a Nonlinear Load in a Single-Phase Systemen
dc.typeArtigo
dcterms.licensehttp://www.ieee.org/publications_standards/publications/authors/open_access.html
dcterms.rightsHolderIEEE-Inst Electrical Electronics Engineers Inc
unesp.author.lattes4831789901823849[5]
unesp.author.orcid0000-0002-1296-5454[4]
unesp.author.orcid0000-0002-9984-9949[5]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Baurupt

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Artigos - Engenharia Elétrica - FEB