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Extraction of partial discharge signal in predominant VHF range in the presence of strong noise in power transformer

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Abstract

To accurately determine the strength and the waveform of the partial discharge (PD) signal, especially if the source position is far from the ultra-high frequency (UHF) sensor or if the signal is weak, it is necessary to properly extract the most prominent PD from the background noise in the recorded signal. This paper provides a new procedure for the extraction of PD signal in the predominant very high frequency (VHF) range from the strong noise in each of the signals recorded online and onsite using the UHF sensor in the power transformer during its normal operation in a thermal power plant. A standard UHF drain valve sensor was used with good sensitivity in the high frequency and VHF bands. First, it is necessary to determine as precisely as possible the period in which the most prominent PD occurs in the middle part of each signal. Second, it is to compare the frequency spectra of the dominant, strong noise in the left and right parts in relation to the corresponding middle part of each recorded signal. And third, it is to extract the PD with the largest amplitudes from the estimated noise in the middle part of each recorded signal by finding the cutoff frequency and performing high-pass filtering in MATLAB. The new criterion for cutoff frequency is that there are no time shifts of the first peaks of the most prominent PD of each recorded signal. The results show some obvious similarities of PDs in the recorded signals, such as frequency range, duration, repetition rate, and the same dominant frequency, which sufficiently indicates that it is the same type of PD.

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  1. Joint Stock Company “Elektromreza Srbije”, Belgrade, Serbia

    Djordje Dukanac

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Dukanac, D. Extraction of partial discharge signal in predominant VHF range in the presence of strong noise in power transformer. Electr Eng 105, 3001–3018 (2023). https://doi.org/10.1007/s00202-023-01855-x

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