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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/67

Title: Frequency estimation of distorted power system signals using extended complex Kalman filter
Authors: Dash, P K
Pradhan, A K
Panda, G
Keywords: Kalman filters
power system harmonics
harmonic distortion
frequency estimation
Issue Date: Jul-1999
Publisher: IEEE
Citation: IEEE Transactions on Power Delivery, Vol 14, Iss 3, P 761-766
Abstract: The 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 frequencies
Description: Personal 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.
URI: http://hdl.handle.net/2080/67
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