Cart (Loading....) | Create Account
Close category search window
 

Three-phase fault location based on Multiple Classifier Systemin double-circuit transmission lines

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Chan, P.P.K. ; Machine Learning & Cybern. Res. Center, South China Univ. of Technol., Guangzhou, China ; Jing Zhu ; Zhi-Wei Qiu

Fault location estimation, which can actually be addressed as a classification or categorization problem, is a vital feature in protective relaying scheme for power transmission lines. In this paper, a novel three-phase fault location approach based on a Multiple Classifier System (MCS) not only using the information of the faulty lines but also considering others lines adjacent with the faulty line. Meanwhile, the number of samples used as an input also can have considerable effects on accuracy. In our proposed method, each base classifier predicts the fault location according to the information of different transmission line based on different number of samples as an input. Experimental results show that the better performance is achieved by the proposed method than the MLPs only using the information of the faulty line.

Published in:

Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on

Date of Conference:

15-17 July 2012

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.