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An Artificial Intelligence Framework for On-Line Transient Stability Assessment of Power Systems
Wehenkel, Louis; Van Cutsem, Thierry; Pavella, Mania
1989In IEEE Transactions on Power Systems, 4 (2), p. 789-800
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Keywords :
Power Systems; Stability; Machine Learning
Abstract :
[en] A framework is proposed to tackle the online transient stability problem of power systems. Based on artificial intelligence, it successively makes use of an inductive inference method to build decisions automatically and a deductive inference method to apply them online. The authors lay the foundations of an inductive inference method, where the rules explicitly relate a system's stability with relevant parameters of it. A simple but realistic power system is treated to illustrate important features of the method and to suggest how the derived decision rules could be used online.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Wehenkel, Louis  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Van Cutsem, Thierry  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Pavella, Mania ;  Université de Liège - ULiège > Services généraux (Faculté des sciences appliquées) > Relations académiques et scientifiques (Sciences appliquées)
Language :
English
Title :
An Artificial Intelligence Framework for On-Line Transient Stability Assessment of Power Systems
Publication date :
1989
Journal title :
IEEE Transactions on Power Systems
ISSN :
0885-8950
Publisher :
IEEE, Piscataway, United States - New Jersey
Volume :
4
Issue :
2
Pages :
789-800
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 28 December 2010

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