By Topic

An expert system for fault section diagnosis of power systems using fuzzy relations

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

2 Author(s)
Hyun-Joon Cho ; LG Electronics Res. Center, Seoul, South Korea ; Jong-Keun Park

This paper proposes an expert system using fuzzy relations to deal with uncertainties imposed on fault section diagnoses of power systems. The authors build sagittal diagrams which represent the fuzzy relations for power systems, and diagnose fault sections using the sagittal diagrams. Next, they examine the malfunction or false alarms of relays and circuit breakers based on the alarm information and the estimated fault section. The proposed system provides the fault section candidates in terms of the degree of membership and the malfunction or false alarm. An operator monitors these candidates and is able to diagnose the fault section, coping with uncertainties. Experimental studies for real power systems reveal the usefulness of the proposed technique to diagnose faults that have uncertainty

Published in:

Power Systems, IEEE Transactions on  (Volume:12 ,  Issue: 1 )