By Topic

GA-based feature selection for faults identification in electrical distribution systems

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
$33 $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

5 Author(s)

This paper develops a novel diagnostic tool for the identification and location of faults in radial distribution networks. In this aim, the problem of minimizing the number of electrical features allowing the identification of a set of faults has been dealt with. An overview of the fault diagnosis problem in medium voltage distribution systems is first presented. Then the diagnostic problem in electrical distribution systems is described and a new diagnostic model is presented. Finally the paper suggests an evolutionary algorithm for the electrical features selection problem, based on an advanced gene expression based genetic algorithm. In the last section the results for an application carried out for a MV radial network are presented and discussed.

Published in:

Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on

Date of Conference:

Aug. 29 1999-Sept. 2 1999