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

ANN-based pattern recognition technique for power system security assessment

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)
Luan, W.P. ; Dept. of Electron. & Comput. Eng., Brunel Univ., Uxbridge, UK ; Lo, K.L. ; Yu, Y.X.

Security assessment is to predict a power system's ability to withstand a set of next contingencies. An ANN-based pattern recognition method is used to perform static security assessment for power systems due to its potential in terms of speed and accuracy for online application. With the input pattern for ANN be composed of power system pre-contingency state described in busbar power injections (P, Q), the output pattern of ANN is composed of the performance index (PI) values of power system post-contingency state to a list of next contingencies. So the output vectors of ANN will indicate not only either `secure' or `insecure' state of the current system but also the severity of security limit violations under contingencies. To cope with the curse of dimensionality and improve efficiency of ANN, R-ReliefF algorithm is introduced to extract those variables that are with more discriminatory information from (P, Q) set to realise the nonlinear mapping from input space to output space. The proposed algorithm is tested on a 77-busbar practical power system with promising results

Published in:

Electric Utility Deregulation and Restructuring and Power Technologies, 2000. Proceedings. DRPT 2000. International Conference on

Date of Conference:

2000

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.