Estimation of transient stability limits using artificial neural network

In this paper, the nonlinear mapping relation between the transient energy margin and the generator power at different fault clearing time was established by using the multi-layer feedforward neural network of the perceptron type, Lyapunov's direct method based on the system dynamic equivalents was used as a fast method to obtain the training set of the artificial neural network (ANN), the transient stability power limits of the generator at different fault clearing time were estimated very quickly by ANN. The proposed approach has been tested on a practical 59-generator power system, and the results were found to be quite accurate.<
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