Fault Classification on Transmission Line of 10kV Rural Power Grid

Fault Classification on Transmission Line of 10kV Rural Power Grid

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Author(s): Chunyu Lv, Shuguang Zhang

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DOI: 10.18483/ijSci.894 371 891 1-3 Volume 5 - Jan 2016


This paper proposes a technique using Discrete Wavelet Transform (DWT) and Back-Propagation Neural Network (BPNN) to identify the fault types on transmission line of 10kv rural power grid. The PSCAD is used to simulate fault signals. The mother wavelet daubechies4 (db4) is employed to decompose high frequency component from these signals. The variations of first scale high frequency component that detect fault are used as an input for the training pattern. The result has shown that the proposed technique gives satisfactory results.


Discrete Wavelet Transform, Neural Network, Transmission Line, Fault Classification, PSCAD


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International Journal of Sciences is Open Access Journal.
This article is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.
Author(s) retain the copyrights of this article, though, publication rights are with Alkhaer Publications.

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