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Power system static security assessment using the Kohonen neural network classifier

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2 Author(s)
Niebur, D. ; Dept. of Electr. Eng., Swiss Federal Inst. of Technol., Lausanne, Switzerland ; Germond, A.J.

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 N-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

Published in:

Power Systems, IEEE Transactions on  (Volume:7 ,  Issue: 2 )

Date of Publication:

May 1992

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