Augmented Unscented Kalman Filter-Based Method for Voltage Sag Detection and Characterization
DOI:
https://doi.org/10.63746/njtd.v22i5.3247Keywords:
Augmented unscented Kalman filter, Power quality, Voltage harmonic, Voltage sag, Signal processingAbstract
This paper proposes a new method for the detection and characterization of voltage sag events in power systems. The proposed method uses the numerical simulation results of an augmented unscented Kalman filter (AUKF) to estimate the voltage sag waveform. The AUKF does not compute the Jacobian matrices, therefore, it offers significant computational advantages over the extended Kalman filter. Additionally, the proposed algorithm uses the residual sequence from the AUKF to detect and estimate the time-related parameters of voltage sag events, and the estimated fundamental magnitude is used to compute the voltage magnitude during the event. The effectiveness of the AUKF method is confirmed in this work via the numerical simulation results of voltage sag waveforms with and without harmonics.
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