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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Babak Jafarpisheh & Anamitra Pal, 2021. "A Robust Algorithm for Real-Time Phasor and Frequency Estimation under Diverse System Conditions," Energies, MDPI, vol. 14(21), pages 1-20, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7112-:d:669677
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    References listed on IDEAS

    as
    1. Yassine Amirat & Zakarya Oubrahim & Hafiz Ahmed & Mohamed Benbouzid & Tianzhen Wang, 2020. "Phasor Estimation for Grid Power Monitoring: Least Square vs. Linear Kalman Filter," Energies, MDPI, vol. 13(10), pages 1-15, May.
    2. Sang-Hee Kang & Woo-Seok Seo & Soon-Ryul Nam, 2020. "A Frequency Estimation Method Based on a Revised 3-Level Discrete Fourier Transform with an Estimation Delay Reduction Technique," Energies, MDPI, vol. 13(9), pages 1-16, May.
    3. Matilde De Apráiz & Ramón I. Diego & Julio Barros, 2018. "An Extended Kalman Filter Approach for Accurate Instantaneous Dynamic Phasor Estimation," Energies, MDPI, vol. 11(11), pages 1-11, October.
    4. Woo-Joong Kim & Soon-Ryul Nam & Sang-Hee Kang, 2019. "Adaptive Phasor Estimation Algorithm Based on a Least Squares Method," Energies, MDPI, vol. 12(7), pages 1-15, April.
    Full references (including those not matched with items on IDEAS)

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