By Topic

Methodology for a Security/Dependability Adaptive Protection Scheme Based on Data Mining

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)
Bernabeu, E.E. ; Protection, Dominion Virginia Power, Richmond, VA, USA ; Thorp, J. ; Centeno, V.

Recent blackouts offer testimonies of the crucial role played by protection relays in a reliable power system. It is argued that embracing the paradigm shift of adaptive protection is a fundamental step toward a reliable power grid. The purpose of this paper is to present a methodology to implement a security/dependability adaptive protection scheme. The advocated methodology aims to reduce the likelihood of manifestation of hidden failures and potential cascading events by adjusting the security/dependability balance of protection systems. The proposed methodology is based on wide-area measurements obtained with the aid of phasor measurement units. A data-mining algorithm, known as decision trees, is used to classify the power system state and to predict the optimal security/dependability bias of a critical protection scheme. The methodology is tested on a detailed 4000-bus system.

Published in:

Power Delivery, IEEE Transactions on  (Volume:27 ,  Issue: 1 )