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A Novel Method for Removal of Dual Decaying DC Offsets to Enhance Discrete Fourier Transform-Based Phasor Estimation

Author

Listed:
  • Vattanak Sok

    (Department of Electrical Engineering, Myongji University, Yongin 17058, Republic of Korea)

  • Su-Hwan Kim

    (Department of Electrical Engineering, Myongji University, Yongin 17058, Republic of Korea)

  • Peng Y. Lak

    (Department of Electrical Engineering, Myongji University, Yongin 17058, Republic of Korea)

  • Soon-Ryul Nam

    (Department of Electrical Engineering, Myongji University, Yongin 17058, Republic of Korea)

Abstract

This paper presents a novel method for the removal of dual decaying DC offsets (DDCOs) to enhance discrete Fourier transform-based phasor estimation. The method proposed in this paper uses the sum of even samples and the sum of odd samples from the input signal to remove the AC components, thereby precisely estimating the primary and secondary DDCOs. The fluctuations induced by DCCOs present in the output of traditional DFT methods are eliminated by using the estimated DCCOs. The performance of the method was evaluated in terms of both mathematical-generated signals and fault current signals from a 154 kV Korean overhead transmission system. PSCAD/EMTDC was used to generate fault current signals at various fault distances and angles. The results show that the proposed method can estimate the phasor of the fundamental frequency component accurately regardless of the primary and secondary DCCOs. The paper concludes by describing the hardware implementation in a prototype unit that considers the real-world requirements of power system protection.

Suggested Citation

  • Vattanak Sok & Su-Hwan Kim & Peng Y. Lak & Soon-Ryul Nam, 2024. "A Novel Method for Removal of Dual Decaying DC Offsets to Enhance Discrete Fourier Transform-Based Phasor Estimation," Energies, MDPI, vol. 17(4), pages 1-16, February.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:4:p:905-:d:1339254
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    References listed on IDEAS

    as
    1. Sina Mohammadi & Amin Mahmoudi & Solmaz Kahourzade & Amirmehdi Yazdani & GM Shafiullah, 2022. "Decaying DC Offset Current Mitigation in Phasor Estimation Applications: A Review," Energies, MDPI, vol. 15(14), pages 1-33, July.
    2. Vattanak Sok & Sun-Woo Lee & Sang-Hee Kang & Soon-Ryul Nam, 2022. "Deep Neural Network-Based Removal of a Decaying DC Offset in Less Than One Cycle for Digital Relaying," Energies, MDPI, vol. 15(7), pages 1-14, April.
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