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Research on Discrete Fourier Transform-Based Phasor Measurement Algorithm for Distribution Network under High Frequency Sampling

Author

Listed:
  • Zhiguo Zhou

    (School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China)

  • Ruliang Lin

    (School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
    Beijing Aerospace Wanyuan Science & Technology Co., Ltd., Beijing 100081, China)

  • Lifeng Wang

    (State Grid Jiangsu Electric Power Co., Ltd., Nanjing 210008, China)

  • Yi Wang

    (School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China)

  • Hansen Li

    (School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China)

Abstract

This paper proposes a phasor measurement algorithm that is suitable for a distribution network. Under the condition of fixed interval and high frequency sampling, the algorithm uses a dynamic calibration factor to correct the traditional Discrete Fourier Transform (DFT) algorithm, which solves the shortcomings of the rapid decline in traditional algorithm measurement accuracy under the condition of power system frequency deviation or dynamic measurement. Under the high sampling rate of the international distribution network waveform data, the conventional phasor is used to represent the theoretical phasor, and the value of the conventional phasor is compensated to make the result closer to the theoretical value. Finally, the phasor measurement software simulation platform is built in Matlab/Simulink, based on the principle of the algorithm, providing a simulation environment for researchers to verify the phasor measurement algorithm of the distribution network and the fault location, state estimation, or other advanced applications.

Suggested Citation

  • Zhiguo Zhou & Ruliang Lin & Lifeng Wang & Yi Wang & Hansen Li, 2018. "Research on Discrete Fourier Transform-Based Phasor Measurement Algorithm for Distribution Network under High Frequency Sampling," Energies, MDPI, vol. 11(9), pages 1-13, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2203-:d:165260
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    Citations

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    Cited by:

    1. 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.
    2. Veerapandiyan Veerasamy & Noor Izzri Abdul Wahab & Rajeswari Ramachandran & Muhammad Mansoor & Mariammal Thirumeni & Mohammad Lutfi Othman, 2018. "High Impedance Fault Detection in Medium Voltage Distribution Network Using Discrete Wavelet Transform and Adaptive Neuro-Fuzzy Inference System," Energies, MDPI, vol. 11(12), pages 1-24, November.

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