Optical Ultrasonic Detection for Partial Discharge under Pulsed High Voltage

Jun Jiang, Yaqian He, Yu Song, Qiang Wu*, Qian Wang

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    5 Citations (Scopus)
    47 Downloads (Pure)

    Abstract

    Medium voltage power electronic transformer (PET), composed of power electronics modules and high-frequency transformer (HFT), plays a significant role in the hybrid AC/DC distribution power grid, with the renewable energy sources and electrified loads. Stressed by the high frequency, high voltage and high temperature, the insulation of HFT is the weak point. However, it is difficult to get access to the discharge signal under the severe electromagnetic interference due to the fast-switching of the power electronics modules. An optical interference based partial discharge (PD) detection is proposed and verified to evaluate the insulation status of HFT and PET. In this paper, the method of detecting and extracting PD signals under high-voltage and high-frequency pulse waveform is studied by using a skeleton optical fiber sensor, Sagnac interference structure and non-correlation coefficient algorithm. The algorithm distinguishes PD activities from interference signals by analyzing the correlation of signals. The ultrasonic interference characteristics of frequency below 20kHz and pulse voltage rise time above 50ns are analyzed. The results demonstrate that the main frequency range of the disturbing signal is from 20 kHz to 100 kHz, which overlaps with the frequency distribution of the PD signal. The non-correlation coefficient between the signals is proportional to the PD strength. The PD signal is detected successfully on the HFT prototype. It is expected to provide a convenient approach to insulation detection and evaluation of high power, high frequency, and high voltage power apparatus.
    Original languageEnglish
    Article number3541408
    Pages (from-to)1-8
    Number of pages8
    JournalIEEE Transactions on Instrumentation and Measurement
    Volume73
    Early online date18 Oct 2024
    DOIs
    Publication statusPublished - 6 Nov 2024

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • partial discharge
    • Sagnac interference
    • impulse voltage
    • non-correlation coefficient

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