Power system preventive control using artificial neural network based generation rescheduling method

A method for computing generation rescheduling for preventive control using artificial neural network (ANN) and transient energy margin (EM) is proposed. A two stage hybrid paradigm is used first to obtain the energy margin sensitivities with respect to generation and second to obtain the generation shift for rescheduling. The sensitivities are derived from the final connecting weights of the ANN.