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Neural Network Computing for the Electric Power Industry by Dejan J. Sobajic

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D. Power System Operation

Comparison of Dynamic Load Models Extrapolation Using Neural Networks and Traditional Methods

He Ren-mu

North China Institute of Electric Power

100085, Beijing, P.R.China

Fax: +86 1 291 31 26

Alain J. Germond

Ecole Polytechnique Fédérale de Lausanne

CH-1015 Lausanne, Switzerland

Fax: +41 21 693 46 60

Abstract

Up to now the representation of load dynamic characteristics continues to be an area of great uncertainty and it becomes a limiting factor of power systems dynamic performance analysis. A mjor diffuculty, both for component-based and measurement-based methods, is the lack of data for dynamic load modeling. A way of solving this problem for measurement-based method is to interpolate and extrapolate the models identified ...

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