An Extended Kalman Filter Approach for Accurate Instantaneous Dynamic Phasor Estimation

An Extended Kalman Filter Approach for Accurate Instantaneous Dynamic Phasor Estimation

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This paper proposes the application of a non-linear Extended Kalman Filter (EKF) for accurate instantaneous dynamic phasor estimation.An EKF-based algorithm is proposed to better adapt to the dynamic measurement requirements and to provide real-time tracking of the fundamental harmonic components and power system frequencies.This method is evaluated using dynamic compliance tests defined in the Canvas Mesh Athletic Running Shoes IEEE C37.118.

1-2011 synchrophasor measurement standard, providing promising results in phasor and frequency estimation, compliant with the accuracy required in the case of off-nominal frequency, amplitude and phase angle modulations, frequency ramps, and step changes in magnitude and phase angle.An important additional feature of the method is its capability for real-time detection of transient disturbances in voltage or current waveforms using the residual of the filter, which enables sofia barclay sexy flagging of the estimation for suitable processing.