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2017 (Vol. 14, Issue: 12)
Research Article

Fault Detection of Distribution Feeder Based on Wavelet Transform and Power Spectrum

Mousa K. Wali, A.N. Hussain and Hani. W.F
Department of Electrical Power Engineering Techniques, Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq

DOI: 10.19026/rjaset.14.5148
Submitted Accepted Published
May 17, 2017 August 14, 2017 December 15, 2017

  How to Cite this Article:

Mousa K. Wali, A.N. Hussain and Hani. W.F, 2017. Fault Detection of Distribution Feeder Based on Wavelet Transform and Power Spectrum.  Research Journal of Applied Sciences, Engineering and Technology, 14(12): 458-463.

DOI: 10.19026/rjaset.14.5148

URL: http://www.maxwellsci.com/jp/mspabstract.php?jid=RJASET&doi=rjaset.14.5148


The High Impedance Fault (HIF) is abnormal event occurred in distribution system feeder whenever the cable downed on the tree, sod, towers and any objects have high impedance which produced little current passes through the cable. So; the protective devices cannot identifying this lightly current because it allocated only for detecting high faulty current (low impedance fault). This situation caused dangerously cases to the human and environment like shocking and firing. The Capacitor Bank (CB) and Nonlinear Load (NL) have waveform nearby to HIF waveform. So; this study proposed technique has ability to recognize between the HIF, CB, NL and other normal working have same waveform. The MATLAB/Simulink is used to simulate distribution feeder associated with HIF model, CB, NL and Linear Load (LL).The signals extracted by simulation decomposed by Wavelet Transform (WT) in order to extract the HIF signals and other feeder incidents. Power Spectrum (PS) technique has been used to identify HIF and differentiate it from any usual cases on feeder.

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    Competing interests

The authors have no competing interests.
    Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.


© The Author(s) 2017

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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