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

Power system dynamic security classification using Kohenen neural networks

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)
Aghamohammadi, M.R. ; Electr. Dept., Power & Water Univ. of Technol., Tehran ; Mahdavizadeh, F. ; Bagheri, R.

In this paper a novel approach for transient stability based dynamic security classification and screening of power systems is presented. A Kohenen neural network is implemented as neural network security classifier. The precontingency steady state operating condition of power system is used as the input pattern of the neural network classifier for proper classification of dynamic characteristic. Transient stability is the dynamic behavior by which system security is assessed and classified. Critical clearing time (CCT) is used as security index for both feature extraction and classification of system dynamic security states. For the purpose of feature extraction, correlation between pre contingency operating condition and system dynamic characteristic is used. The proposed approach has been demonstrated on the IEEE-39 bus system with promising results for relatively accurate classification and screening of power system dynamic security.

Published in:

Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES

Date of Conference:

15-18 March 2009

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.