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Artificial intelligence applied to on-line transient stability assessment of electric power systems

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3 Author(s)
Wehenkel, L. ; University of Liÿge, Liege, Belgium ; Van Cutsem, Th. ; Ribbens-Pavella, M.

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.

Published in:

Decision and Control, 1986 25th IEEE Conference on  (Volume:25 )

Date of Conference:

Dec. 1986

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