By Topic

Automatic learning methods applied to dynamic security assessment of 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

3 Author(s)
Pierre, J. ; Electr. de France, Clamart, France ; Lebrevelec, C. ; Wehenkel, L.

This paper describes two applications of automatic learning methods applied to the dynamic security assessment of power systems. These studies use a dynamic database describing the dynamic behavior of the French power system This database is the result of a statistical approach applied to power systems security assessment. Through these two studies, the authors expose the potentiality of automatic learning methods and statistical approach applied to dynamic security assessment of power systems.

Published in:

Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on

Date of Conference:

Aug. 29 1999-Sept. 2 1999