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Analysis of Voltage Stability Margin and Prediction of Asynchronous Machine using ANN

Journal: International Journal of Science and Research (IJSR) (Vol.2, No. 3)

Publication Date:

Authors : ; ; ;

Page : 286-290

Keywords : ANN; voltage instability; loading conditions; stability margin; radial basis function;

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This paper presents an ANN based model for predicting stability margin for an asynchronous machine power system prone to voltage instability. Such a model may be employed either for direct prediction of the stability margin based on the existing loading conditions or for forecasting the loading conditions for a future time period and then providing an estimate of the stability margin. The neural networks employed are the multi layer perceptron (MLP) with a second order learning rule and the radial basis function (RBF) network and feed forward neural network. The simulation results for a sample 5-bus system indicate that the ANN models provide a fairly accurate and fast prediction of the stability margin making them, suitable for application in an on-line energy management system.

Last modified: 2021-06-30 20:14:29