Abstract：When the fault occurs in the power system, the electric quantity information such as the current and voltage, is changed primarily, and is better in instantaneity, accuracy and completeness than the switching value information. In this paper, for the existing phenomenon of over-envelope and under-envelope of Hilbert-Huang transform (HHT) in fault feature extraction on current signals, three Binary subdivision method was used to improve the Hilbert-Huang transform. By comparing the results of Hilbert marginal spectrum and amplitude and frequency distortion degree by improved HHT and HHT, it was shown that the faulty component diagnosis result obtained by the improved HHT processing has higher accuracy and reliability, and avoids the uncertainty caused by the use of the switch quantity information. The experimental results show that the local subdivision cubic spline interpolation method can improve the over-envelope and under-envelope phenomena of Hilbert-Huang transform, and improve the accuracy of grid fault diagnosis results.
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2019, Vol. 34 
