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<p>With the development of intelligent energy metering equipment, traditional signal processing methods have encountered limitations in measuring instantaneous frequency. This article proposes a fast fault location method for electric energy metering equipment based on the Hilbert Huang transform. Initially, the differential voltage drop is measured. Subsequently, variational mode decomposition filtering is applied. Following this, the Hilbert Huang transform is used to calculate the instantaneous frequency and generate a time-frequency diagram. Based on the time-frequency diagram, the fault time is identified at the point of sudden change, and the fault point is determined by integrating this information with the wave velocity. Experimental results demonstrate that this method is applicable to both single and multiple disturbances. It is capable of measuring a -300&#xa0;V voltage drop and accurately determining the instantaneous frequency. The fault location deviation is merely 1.36&#xa0;m. The efficacy of this method in fault location is substantiated, which may serve as a reference for future research endeavors.</p>

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A Fast Fault Localization Method for Power Metering Equipment Based on Hilbert-Huang Transform

  • 期刊论文

  • 发表日期：

    2025年1月11日

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  • Hongwei Xu,
  • Hezhong Tang,
  • Xianmin Tang,
  • Wenkai Liang

摘要

With the development of intelligent energy metering equipment, traditional signal processing methods have encountered limitations in measuring instantaneous frequency. This article proposes a fast fault location method for electric energy metering equipment based on the Hilbert Huang transform. Initially, the differential voltage drop is measured. Subsequently, variational mode decomposition filtering is applied. Following this, the Hilbert Huang transform is used to calculate the instantaneous frequency and generate a time-frequency diagram. Based on the time-frequency diagram, the fault time is identified at the point of sudden change, and the fault point is determined by integrating this information with the wave velocity. Experimental results demonstrate that this method is applicable to both single and multiple disturbances. It is capable of measuring a -300 V voltage drop and accurately determining the instantaneous frequency. The fault location deviation is merely 1.36 m. The efficacy of this method in fault location is substantiated, which may serve as a reference for future research endeavors.