By Topic

A framework to predict voltage collapse in power systems

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

4 Author(s)
Mercede, F. ; Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA ; Chow, J.-C. ; Yan, H. ; Fischl, R.

A framework based on region-wise partitioning is presented which accounts for several of the mechanisms to predict voltage collapse and can serve as a basis for comparing the effectiveness of performance indices to predict on-line, voltage collapse problems in power systems. The basis of the framework is the voltage stability (VS) region, which accounts for both static and dynamic mechanisms of voltage collapse. Based on the VS region, static and dynamic performance indices, are defined to predict the static mechanisms of voltage collapse in the input or injection space and the dynamic mechanism in the post-contingency state space respectively

Published in:

Power Systems, IEEE Transactions on  (Volume:3 ,  Issue: 4 )