Abstract
Through analyzing the transient components and transient characteristics in transient zero-sequence current (TZSC), a novel fault feeder detection method based on the transient correlation of non-power frequency components (NPFCs) for the resonant grounded system is proposed. Firstly, using variational mode decomposition combined with fast Fourier transformation (VMD–FFT) to decompose the TZSC, by removing the power frequency components and noise signals, the transient NPFCs can be obtained. Secondly, to reflect the overall changing trend between faulty and healthy currents, the moving average filter is introduced to smooth the NPFCs; in this way, the fault transient features can be accurately revealed. Finally, the faulty feeder can be detected by comparing the threshold with the maximum difference value of comprehensive correlation coefficient of NPFCs. The detection results show that the proposed fault detection method can accurately select the faulty feeder; it is unaffected by fault resistances, fault phase angles, etc. Moreover, the detection method can resist noise interference.
Highlights
Among the existing operation modes of power distribution networks, the resonance grounding system is most widely used
Faulty lines can be identified based on the correlation of the non-power frequency components (NPFCs) of the transient zero-sequence current (TZSC)
NPFCs of TZSCs were selected for faulty non-faulty lines,was as shown in the center and g elements were selected as an interval
Summary
Among the existing operation modes of power distribution networks, the resonance grounding system is most widely used. Liu et al [16] used the Prony algorithm to Energies 2020, 13, 4724 extract the transient main frequency components of individual lines This method requires no settings but has low anti-noise capacity. The selection ability forto decompose a transient zero-sequence (TZSC),Wang but the wavelet basis function showed low-resistance faults showed room for current improvement. Introduced a novel cut-in point for decompose a transient zero-sequence current (TZSC), but the choice of wavelet basis function showed fault detection issues; the power component can be calculated based on the fast. Fourier transformation (VMD–FFT) and the Pearson correlation coefficient was developed in this adaptively calculates the center the signal to decompose the zero-sequence current study to improve the accuracy of frequency faulty line of selection in resonant grounded systems. Components otherwise caused by modal aliasing and boundary effects in traditional algorithms
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