On-line voltage stability monitoring using artificial neural network

This paper proposes a scheme for on-line voltage stability monitoring using artificial neural network (ANN) and a systematic way for training the ANN. Separate ANNs are used for different contingencies and for different load levels under the same contingency. Results of contingency analysis are used along with principal component analysis (PCA) to choose important input features to train the ANN. Implementation of the feature selection scheme enhances the overall usefulness of the neural network. The proposed scheme is applied on the New England 39-bus power system model.