Publication:
Calculation of Fundamental Power Frequency for Digital Relaying Algorithms

dc.authorscopusid56614765400
dc.authorscopusid22433630600
dc.authorscopusid35102987300
dc.authorscopusid35103686000
dc.contributor.authorKocaman, C.
dc.contributor.authorÖzgönenel, O.
dc.contributor.authorÖzdemir, M.
dc.contributor.authorTerzi, U.K.
dc.date.accessioned2020-06-21T09:27:29Z
dc.date.available2020-06-21T09:27:29Z
dc.date.issued2010
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Kocaman] Çaǧri, Electrical and Electronics Engineering Department, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Özgönenel] Okan, Electrical and Electronics Engineering Department, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Özdemir] Muammer, Electrical and Electronics Engineering Department, Ondokuz Mayis Üniversitesi, Samsun, Turkey; [Terzi] Ümit Kemalettin, Department of Electrical Education, Marmara Üniversitesi, Istanbul, Turkeyen_US
dc.description.abstractThis paper describes two different measuring methodology for calculating fundamental power system frequency (50 - 60 Hz) with high accuracy for numeric protection algorithms. Especially in distance protection, to measure the fundamental power frequency is a vital fact to locate the fault correctly. The problem is complex because the power frequency changes from 49.0 Hz to 51.0 Hz over a wide range for 50 Hz systems. Assuming the frequency of only 50 Hz or 60 Hz may cause under or over reach problem in distance relaying algorithms. Therefore the aim of this paper is to present a high accuracy, with a wide range frequency estimation algorithm for either sinusoid or non-sinusoid signals. The experimental results reported prove that the first method is more accurate than the second one. In this paper, two different calculation procedures are introduced. The first one is curve fitting approach and needs only six samples of the current or voltage signal. The second one is based on auto correlation function of sampled data. The proposed methods are robust for a wide range of sampling frequency, F<inf>s</inf> and give more accurate results than the traditional ones.en_US
dc.identifier.doi10.1049/cp.2010.0327
dc.identifier.isbn9780863417290
dc.identifier.isbn9780863419003
dc.identifier.isbn9781849191609
dc.identifier.isbn9781839530029
dc.identifier.isbn9781849195584
dc.identifier.isbn9781849198172
dc.identifier.isbn9781849196246
dc.identifier.isbn9781849195690
dc.identifier.isbn9781785610462
dc.identifier.isbn9780863419027
dc.identifier.scopus2-s2.0-77956332257
dc.identifier.urihttps://doi.org/10.1049/cp.2010.0327
dc.identifier.volume2010en_US
dc.language.isoenen_US
dc.relation.ispartof-- 10th IET International Conference on Developments in Power System Protection, DPSP 2010en_US
dc.relation.journalIET Conference Publicationsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAuto Correlation Function (ACF)en_US
dc.subjectCurve Fitting (CF)en_US
dc.subjectFast Fourier Transform (FFT)en_US
dc.subjectFrequency Estimationen_US
dc.subjectNon-Sinusoidalen_US
dc.titleCalculation of Fundamental Power Frequency for Digital Relaying Algorithmsen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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