Title :
An artificial intelligence framework for online transient stability assessment of power systems
Author :
Wehenkel, L. ; Van Cutsem ; Ribbens-Pavella, M.
Author_Institution :
Dept. of Electr. Eng., Liege Univ., Belgium
fDate :
5/1/1989 12:00:00 AM
Abstract :
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
Keywords :
artificial intelligence; inference mechanisms; knowledge based systems; power system analysis computing; stability; transients; artificial intelligence; inductive inference method; online transient stability assessment; power systems; Appraisal; Artificial intelligence; Decision trees; Power system analysis computing; Power system stability; Power system transients; Robustness; Stability analysis; Time domain analysis; Transient analysis;
Journal_Title :
Power Systems, IEEE Transactions on