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

Dynamic security assessment of a power system based on Probabilistic 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

2 Author(s)
Kucuktezan, C.F. ; Electr. Eng. Dept., Istanbul Tech. Univ., Istanbul, Turkey ; Genc, V.M.I.

In this paper, a method of utilizing Probabilistic Neural Networks (PNNs) in the dynamic security assessment of power systems is proposed. The method involves an approach of a proper training data selection for a PNN which classifies the operating conditions of a power system with high accuracy. The classification is based on the power system security against critical contingencies that may cause transient instabilities. By the proposed method, high classification performances are attained without requiring large training sets. This work also includes an application of multi-spread PNN structures which provide more flexibility in enhancing the security assessment performance. A simple genetic algorithm (GA) is applied to calculate proper spread parameters of multi-spread PNN structure. The proposed methods are implemented on the Iowa power system model and the results regarding dynamic security assessment performances are discussed.

Published in:

Innovative Smart Grid Technologies Conference Europe (ISGT Europe), 2010 IEEE PES

Date of Conference:

11-13 Oct. 2010

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.