Applications of parametric spectral estimation methods on detection of power system harmonics

dc.contributor.author Ahmet Serdar Yilmaz
dc.contributor.author Ahmet Alkan
dc.contributor.author Musa Hakan Asyali
dc.contributor.author Alkan, Ahmet
dc.contributor.author Asyali, Musa H.
dc.contributor.author Yilmaz, Ahmet S.
dc.date.accessioned 2025-10-06T17:53:19Z
dc.date.issued 2008
dc.description.abstract Harmonics are the major power quality problems in industrial and commercial power systems. Several methods for detection of power system harmonics have been investigated by engineers due to increasing harmonic pollution. Since the non-integer multiple harmonics (inter and sub-harmonics) become wide spread the importance of harmonic detection has increased for sensitive filtration. This paper suggests parametric spectral estimation methods for the detection of harmonics inter-harmonics and sub-harmonics. Yule Walker Burg Covariance and Modified Covariance methods are applied to generate cases. Not only integer multiple harmonics but also non-integer multiple harmonics are successfully determined in the computer simulations. Further performances of proposed methods are compared with each other in terms of frequency resolution. © 2007 Elsevier B.V. All rights reserved. © 2008 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1016/j.epsr.2007.05.011
dc.identifier.issn 03787796
dc.identifier.issn 0378-7796
dc.identifier.issn 1873-2046
dc.identifier.scopus 2-s2.0-39149088030
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-39149088030&doi=10.1016%2Fj.epsr.2007.05.011&partnerID=40&md5=9801b1721449c7069d1b864deff46077
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/10358
dc.identifier.uri https://doi.org/10.1016/j.epsr.2007.05.011
dc.language.iso English
dc.publisher Elsevier Science SA
dc.relation.ispartof Electric Power Systems Research
dc.rights info:eu-repo/semantics/closedAccess
dc.source Electric Power Systems Research
dc.subject Harmonic Detection, Parametric Methods, Power Quality, Spectral Estimation, Computer Simulation, Covariance Matrix, Harmonic Analysis, Power Quality, Spectrum Analysis, Modified Covariance Methods, Parametric Spectral Estimation, Power System Harmonics, Electric Power Systems
dc.subject Computer simulation, Covariance matrix, Harmonic analysis, Power quality, Spectrum analysis, Modified Covariance methods, Parametric spectral estimation, Power system harmonics, Electric power systems
dc.subject Spectral Estimation
dc.subject Parametric Methods
dc.subject Power Quality
dc.subject Harmonic Detection
dc.title Applications of parametric spectral estimation methods on detection of power system harmonics
dc.type Article
dspace.entity.type Publication
gdc.author.id YILMAZ, AHMET SERDAR/0000-0002-5735-3857
gdc.author.id ALKAN, Ahmet/0000-0003-0857-0764
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gdc.author.wosid ALKAN, Ahmet/AAD-3054-2019
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gdc.description.department
gdc.description.departmenttemp [Yilmaz, Ahmet S.] Kahramanmaras Sutcu Imam Univ, Dept Elect & Elect Engn, Kahramanmaras, Turkey; [Alkan, Ahmet; Asyali, Musa H.] Yasar Univ, Dept Comp Engn, Izmir, Turkey
gdc.description.endpage 693
gdc.description.issue 4
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
gdc.description.startpage 683
gdc.description.volume 78
gdc.description.woscitationindex Science Citation Index Expanded
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gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.opencitations.count 50
gdc.plumx.crossrefcites 28
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gdc.scopus.citedcount 57
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oaire.citation.endPage 693
oaire.citation.startPage 683
person.identifier.scopus-author-id Yilmaz- Ahmet Serdar (55212131300), Alkan- Ahmet (56261391700), Asyali- Musa Hakan (55948103700)
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