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Dyanamic stability assessment of power system using multilayer feedforward neural networks with reduced feature selection

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This paper presents an application of Multilayer Feed-forward Neural Networks (MLFN) for Dynamic Stability Assessment (DSA) with feature reduction techniques. Dynamic stability of the power system is first determined based on the generator relative rotor angles obtained from time domain simulations. |