An Extended Kalman Filter Approach for Accurate Instantaneous Dynamic Phasor Estimation

Matilde De Apráiz, Ramón I. Diego and Julio Barros
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Matilde De Apráiz: Department Computer Science and Electronics, University of Cantabria, 39005 Santander, Spain
Ramón I. Diego: Department Computer Science and Electronics, University of Cantabria, 39005 Santander, Spain
Julio Barros: Department Computer Science and Electronics, University of Cantabria, 39005 Santander, Spain

Energies, 2018, vol. 11, issue 11, 1-11

Abstract: 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 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 flagging of the estimation for suitable processing.

Keywords: power system measurements; dynamic phasor estimation; Kalman filters; phasor measurement; power quality (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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