By Topic

Fault Section Estimation for Power Networks Using Logic Cause-Effect Models

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

3 Author(s)
Wen-Hui Chen ; Graduate Institute of Automation Technology, National Taipei University of Technology, Taipei, Taiwan ; Shun-Hung Tsai ; Hsien-I. Lin

A graphic modeling approach for fast fault section estimation via Boolean rule matrix transformations is proposed in this paper. This study extends matrix-based inference in fault diagnosis from radial distribution networks to mesh transmission networks. The proposed approach offers a clear framework, rapid reasoning, and has no problem of convergence and parameter setting during the diagnosis procedure. Furthermore, the required data used for inference can be obtained online from existing supervisory control and data-acquisition/energy-management systems without installing dedicated measurement devices, which reduces extra hardware investment and makes it more feasible to power utilities. By testing three different types of transmission networks, the proposed approach showed some clear merits over existing methods.

Published in:

IEEE Transactions on Power Delivery  (Volume:26 ,  Issue: 2 )