Open Access   Article Go Back

ANN Based Fault Classifier and Fault Locator for Double Circuit Transmission Line

Atul A. Kale1 , Navita G. Pandey2

Section:Research Paper, Product Type: Conference Paper
Volume-04 , Issue-02 , Page no. 1-6, Apr-2016

Online published on May 10, 2016

Copyright © Atul A. Kale, Navita G. Pandey . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Atul A. Kale, Navita G. Pandey, “ANN Based Fault Classifier and Fault Locator for Double Circuit Transmission Line,” International Journal of Computer Sciences and Engineering, Vol.04, Issue.02, pp.1-6, 2016.

MLA Style Citation: Atul A. Kale, Navita G. Pandey "ANN Based Fault Classifier and Fault Locator for Double Circuit Transmission Line." International Journal of Computer Sciences and Engineering 04.02 (2016): 1-6.

APA Style Citation: Atul A. Kale, Navita G. Pandey, (2016). ANN Based Fault Classifier and Fault Locator for Double Circuit Transmission Line. International Journal of Computer Sciences and Engineering, 04(02), 1-6.

BibTex Style Citation:
@article{Kale_2016,
author = {Atul A. Kale, Navita G. Pandey},
title = {ANN Based Fault Classifier and Fault Locator for Double Circuit Transmission Line},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2016},
volume = {04},
Issue = {02},
month = {4},
year = {2016},
issn = {2347-2693},
pages = {1-6},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=41},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=41
TI - ANN Based Fault Classifier and Fault Locator for Double Circuit Transmission Line
T2 - International Journal of Computer Sciences and Engineering
AU - Atul A. Kale, Navita G. Pandey
PY - 2016
DA - 2016/05/10
PB - IJCSE, Indore, INDIA
SP - 1-6
IS - 02
VL - 04
SN - 2347-2693
ER -

           

Abstract

Accurate and fast fault detection, classification and location is very important from the service restoration and reliability point of view. However in case of double circuit transmission line due to mutual coupling effect this may result in poor discrimination between faulty and healthy line. This paper presents an artificial neural network based fault classifier and locator for double circuit transmission line. The neural network was trained by various sets of data available from simulation of model for different faults conditions. The obtained simulation result shows the proposed system works satisfactorily.

Key-Words / Index Term

Double Circuit Transmission Line, Artificial Neural Network, Fault Detection, Fault Classification, Fault Location.

References

[1] Tahar Bouthiba, “Fault Location In EHV Transmission Lines Using Artificial Neural Networks”, Int. J. Appl. Math. Computer. Sci., 2004, Vol. 14, No. 1, 69–78.
[2] Anamika Jain, A. S. Thoke, and R. N. Patel, “Fault Classification of Double Circuit Transmission Line Using Artificial Neural Network”, International Journal of Electrical Systems Science and Engineering 1;4 © www.waset.org Fall 2008.
[3] H. Zheng you, C. Xiaoqing and L. Guoming, “Wavelet entropy definition and its application for transmission line fault detection and identification.” Conference on power system technology, 2006.
[4] R.P.Hasbe, A.P.Vaidya, Detection and classification of faults on 220 KV transmission line using wavelet transform and neural network, International Journal of Smart Grid and Clean Energy, August 2013.
[5] Mayuresh Rao, R.P.Hasbe, Detection and classification of faults transmission line using wavelet transform and neural network, ISSN 2278-8948, Volume -2, 2005 ISSN 1307-6884, May 2013.
[6] Atul A. Kale, Navita G. Pandey, Fault Detection and Fault Classification of Double Circuit Transmission Line Using Artificial Neural Network, International Research Journal of Engineering and Technology, Volume 2, Issue8, Page 1226- 1229, November 2015.