NDLI: A New Hybrid Method Based on Discrete Wavelet Transform and Cross-Correlation Function to Discriminate Internal Faults from Inrush Currents

Content Provider	Springer Nature Link
Author	Hosseini, Sied Mohsen Mazlumi, Kazem
Copyright Year	2014
Abstract	In this paper, a novel hybrid method based on discrete wavelet transform (DWT) and cross-correlation function (CCF) is proposed for the differential protection of the power transformers. The key idea of using the wavelet transform is the existence of high-frequency components in the inrush currents which can be extracted by means of DWT. This method is noise sensitive and may not easily be trusted; therefore, in this paper, CCF is used to reduce the sensitivity to noise. Since transformers are generally operated near the knee point of the magnetizing characteristic, only a small increase in core flux above normal operating levels results in a high magnetizing current; that is why the inrush currents are not similar to a sine wave. Therefore, in this paper, the CCF is used to measure the similarity between differential current and a reference sinusoidal 60Hz signal. The standard deviation of the wavelet transform and the maximum of the CCF are also reported. In addition, the effect of the noise on the proposed method is investigated. In the proposed method, the fault currents can be distinguished from the inrush current by setting a proper threshold. This method is verified using MATLAB/Simulink software.
Starting Page	7159
Ending Page	7172
Page Count	14
File Format	PDF
ISSN	13198025
Journal	Arabian Journal for Science and Engineering
Volume Number	39
Issue Number	10
e-ISSN	21914281
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-07-09
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Differential protection Cross-correlation function Wavelet transform Engineering Science
Content Type	Text
Resource Type	Article

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