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

Sensitivity-Based Efficient Identification of Oscillatory Stability Margin and Damping Margin Using Continuation of Invariant Subspaces

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)
Cheng Luo ; Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA ; Ajjarapu, V.

Successive eigenvalue sensitivities extracted from continuation of invariant subspaces (CIS) are proposed for efficient identification of oscillatory stability margin and damping margin in power systems. Spectrum transformation-based methods are introduced to calculate the critical eigenvalues of interest for CIS initialization. The predictor-corrector method is applied to trace the movements of eigenvalues as power system parameter changes. The eigenvalue sensitivities are by-products of the algorithm. From this information, a step size control strategy is proposed to speed up the oscillatory stability margin and damping margin identification. The proposed method is numerically stable, robust, and converges rapidly. The simulation results and computation performance on New England 39-bus system and IEEE 145-bus system are demonstrated in details.

Published in:

Power Systems, IEEE Transactions on  (Volume:26 ,  Issue: 3 )

Date of Publication:

Aug. 2011

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.