Footnotes

Louis WEHENKEL
Research Associate F.N.R.S.
Thierry VAN CUTSEM
Senior Research Associate F.N.R.S.
University of Liège
Deptartment of Electrical Engineering - Institut Montefiore - Sart Tilman B 28 B 4000 Liège - BELGIUM

Y. Jacquemart, B. Heilbronn, P. Pruvot
Electricité de France, 1, avenue du Général de Gaulle 92141 Clamart Cedex - France

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In this paper we use the term model to denote in general the result of learning (e.g. a tree, a multi-layer perceptron or a nearest neighbor rule) which is different from the electrical model of the power system used for the purpose of simulations.

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i.e. by subtracting their mean and dividing by their standard deviation

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i.e. the detection of a saddle-node bifurcation

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The percentage of critical vs non-critical states at each node are proportional to the corresponding grey area of the box representing a node.

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To limit the computing time, the BFGS procedure was stopped after 500 passes through the learning set.

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The margin is computed on a set of load busses corresponding to a total load level between 5000 and 7700 MW.


Mon Jan 16 17:04:36 MET 1995