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research article
Power system static security assessment using the Kohonen neural network classifier
The authors present the application of an artificial neural network, Kohonen's self-organizing feature map, for the classification of power system states. This classifier maps vectors of an <i>N</i>-dimensional space to a two-dimensional neural net in a nonlinear way, preserving the topological order of the input vectors. Therefore, secure operating points-that is, vectors inside the boundaries of the secure domain-are mapped to a different region of the neural map than insecure operating points. The application of this classifier to power system security assessment is presented, and simulation results are discussed
Type
research article
Authors
Publication date
1992
Published in
Volume
7
Issue
2
Start page
865
End page
72
Peer reviewed
REVIEWED
EPFL units
Available on Infoscience
April 4, 2007
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