A Robust Algorithm for Real-Time Phasor and Frequency Estimation under Diverse System Conditions

Babak Jafarpisheh and Anamitra Pal
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Babak Jafarpisheh: Depsys SA, Route du Verney 20B, 1070 Puidoux, Switzerland
Anamitra Pal: School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281, USA

Energies, 2021, vol. 14, issue 21, 1-20

Abstract: This paper presents a comprehensive approach for performing phasor and frequency estimation from voltage and/or current signals of the modern power system. Undesirable components, such as decaying DC, if present in the input signal, are first attenuated using a complex-gain filter. The initial estimates of phasor and frequency are obtained next using the discrete Fourier transform and an improved estimation of signal parameters via rotational invariance technique, respectively. Finally, the accuracy of phasor and frequency estimates are increased based on the identified system condition. Simulations performed to evaluate the proposed approach confirm that it can do fast and accurate estimation of phasor and frequency under diverse operating conditions, making it ideal for wide-area monitoring, protection, and control applications in power systems.

Keywords: discrete Fourier transform (DFT); estimation of signal parameters via rotational invariance techniques (ESPRIT); frequency estimation; phasor estimation (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: 2021
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