Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDash, P K-
dc.contributor.authorPradhan, A K-
dc.contributor.authorPanda, G-
dc.identifier.citationIEEE Transactions on Power Delivery, Vol 14, Iss 3, P 761-766en
dc.descriptionPersonal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en
dc.description.abstractThe paper proposes an extended complex Kalman filter and employs it for the estimation of power system frequency in the presence of random noise and distortions. From the discrete values of the 3-phase voltage signals of a power system, a complex voltage vector is formed using the well known αβ-transform. A nonlinear state space formulation is then obtained for this complex signal and an extended Kalman filtering approach is used to compute the true state of the model iteratively with significant noise and harmonic distortions. As the frequency is modeled as a state, the estimation of the state vector yields the unknown power system frequency. Several computer simulations test results are presented in the paper to highlight the usefulness of this approach in estimating near nominal and off-nominal power system frequenciesen
dc.format.extent482858 bytes-
dc.subjectKalman filtersen
dc.subjectpower system harmonicsen
dc.subjectharmonic distortionen
dc.subjectfrequency estimationen
dc.titleFrequency estimation of distorted power system signals using extended complex Kalman filteren
Appears in Collections:Journal Articles

Files in This Item:
File Description SizeFormat 
pkd10.pdf471.54 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.