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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/97

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contributor.authorDash, P K-
contributor.authorPanda, G-
contributor.authorPradhan, A K-
contributor.authorRoutray, A-
contributor.authorDuttagupta, B-
date.accessioned2005-07-04T06:50:09Z-
date.available2005-07-04T06:50:09Z-
date.issued2000-
identifier.citationIEEE Power Engineering Society Winter Meeting, 23-27 Jan. 2000, 1569 - 1574 vol.3en
identifier.urihttp://hdl.handle.net/2080/97-
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
description.abstractThe design of an extended complex Kalman filter for the measurement of power system frequency has been presented in this paper. The design principles and the validity of the model has been outlined. A complex model has been developed to track a distorted signal that belongs to a power system. The model inherently takes care of the frequency measurement along with the amplitude and phase of the signals. The theory has been applied to standard signals representing the worst-case measurement and network conditions in a typical power system. The proposed algorithm is suitable for real-time applications where the measurement noise and other disturbances are high. The complex quantities can be conveniently handled using a floating point processor. Comparison of the results of the proposed method with those obtained from a real extended Kalman filter reveal tile superior performance of the former methoden
format.extent425734 bytes-
format.mimetypeapplication/pdf-
language.isoen-
publisherIEEEen
subjectKalman filtersen
subjectfrequency measurementen
subjectsignal processingen
subjectsignal processingen
titleAn extended complex Kalman filter for frequency measurement of distorted signalsen
typeArticleen
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