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A Two-Stage Algorithm to Estimate the Fundamental Frequency of Asynchronously Sampled Signals in Power Systems

Author

Listed:
  • Joon-Hyuck Moon

    (Department of Electrical Engineering, Myongji University, Yongin 449-728, Korea)

  • Sang-Hee Kang

    (Department of Electrical Engineering, Myongji University, Yongin 449-728, Korea)

  • Dong-Hun Ryu

    (Industrial Physical Instrument Center, Korea Testing Laboratory, Ansan 426-901, Korea)

  • Jae-Lim Chang

    (Industrial Physical Instrument Center, Korea Testing Laboratory, Ansan 426-901, Korea)

  • Soon-Ryul Nam

    (Department of Electrical Engineering, Myongji University, Yongin 449-728, Korea)

Abstract

A two-stage algorithm is proposed for the estimation of the fundamental frequency of asynchronously sampled signals in power systems. In the first stage, time-domain interpolation reconstructs the power system signal at a new sampling time and the reconstructed signal passes through a tuned sine filter to eliminate harmonics. In the second stage, the fundamental frequency is estimated using a modified curve fitting, which is robust to noise. The evaluation results confirm the efficiency and validity of the two-stage algorithm for accurate estimation of the fundamental frequency even for asynchronously sampled signals contaminated with noise, harmonics, and an inter-harmonic component.

Suggested Citation

  • Joon-Hyuck Moon & Sang-Hee Kang & Dong-Hun Ryu & Jae-Lim Chang & Soon-Ryul Nam, 2015. "A Two-Stage Algorithm to Estimate the Fundamental Frequency of Asynchronously Sampled Signals in Power Systems," Energies, MDPI, vol. 8(9), pages 1-14, August.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:9:p:9282-9295:d:54925
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    Citations

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    Cited by:

    1. Baraldi, Piero & Castellano, Andrea & Shokry, Ahmed & Gentile, Ugo & Serio, Luigi & Zio, Enrico, 2020. "A Feature Selection-based Approach for the Identification of Critical Components in Complex Technical Infrastructures: Application to the CERN Large Hadron Collider," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    2. Qiang Guo & Jing Wu & Haibin Jin & Cheng Peng, 2018. "An Innovative Calibration Scheme for Interharmonic Analyzers in Power Systems under Asynchronous Sampling," Energies, MDPI, vol. 12(1), pages 1-10, December.
    3. Ying-Yi Hong, 2016. "Electric Power Systems Research," Energies, MDPI, vol. 9(10), pages 1-4, October.

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