Title :
Artificial intelligence applied to on-line transient stability assessment of electric power systems
Author :
Wehenkel, L. ; Cutsem, Th. ; Ribbens-Pavella, M.
Author_Institution :
University of Li??ge, Liege, Belgium
Abstract :
A novel approach to fast transient stability assessment of power systems is presented. It consists of inductive inference which allows the construction of decision rules derived from off-line simulation data. The proposed procedure derives from ID3 by Quinlan, appropriately modified so as to handle a large number of continuous variables. The decision rules are expressed in terms of static, controllable variables. This makes the method able to solve both on-line transient stability analysis and preventive control problems.
Keywords :
Artificial intelligence; Power system stability; Power system transients; Power systems; Quantization;
Conference_Titel :
Decision and Control, 1986 25th IEEE Conference on
Conference_Location :
Athens, Greece
DOI :
10.1109/CDC.1986.267413