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Artificial Neural Network based Protection Scheme for One Conductor Open Faults in Six Phase Transmission Line

by Ebha Koley, Anamika Yadav, A. S. Thoke
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 101 - Number 4
Year of Publication: 2014
Authors: Ebha Koley, Anamika Yadav, A. S. Thoke
10.5120/17678-8522

Ebha Koley, Anamika Yadav, A. S. Thoke . Artificial Neural Network based Protection Scheme for One Conductor Open Faults in Six Phase Transmission Line. International Journal of Computer Applications. 101, 4 ( September 2014), 42-46. DOI=10.5120/17678-8522

@article{ 10.5120/17678-8522,
author = { Ebha Koley, Anamika Yadav, A. S. Thoke },
title = { Artificial Neural Network based Protection Scheme for One Conductor Open Faults in Six Phase Transmission Line },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 101 },
number = { 4 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 42-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume101/number4/17678-8522/ },
doi = { 10.5120/17678-8522 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:30:50.872845+05:30
%A Ebha Koley
%A Anamika Yadav
%A A. S. Thoke
%T Artificial Neural Network based Protection Scheme for One Conductor Open Faults in Six Phase Transmission Line
%J International Journal of Computer Applications
%@ 0975-8887
%V 101
%N 4
%P 42-46
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The demand for electricity is ever increasing. To meet this ever increasing demand, six phase line can be a possible alternative to increase the transmission line capacity of existing line with the same right of way. This paper presents a Artificial Neural Network based protection scheme for detection and classification of all one conductor open faults in six phase line. A 138 kV six phase transmission line of 68 km length has been simulated using MATLAB® software and its associated Simulink® and Simpowersystem® toolboxes. The fundamental components of current signals measured at relay location are used as input to train the Artificial Neural Network. The effect of variation in fault inception angle and fault distance location has been investigated on the performance of the proposed protection scheme. The simulation results of ANN based protection technique shows that proposed algorithm correctly detects/classifies all types of one open conductor faults within one cycle time. It validates the accuracy and suitability of the proposed scheme.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Open conductor faults Six Phase Transmission lines Artificial Neural Network Fault detection and classification.

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