New method for generators' angles and angular velocities prediction for transient stability assessment of multi-machine power systems using recurrent artificial neural network

Summary form only given. Recurrent radial basis function (RBF), and multi-layer perceptron (MLP) artificial neural network (ANN) schemes are proposed for dynamic system modeling, and generators' angles and angular velocities prediction for transient stability assessment. The method is presented for multi-machine power systems. In this scheme, transient stability is assessed based on monitoring generators' angles and angular velocities with time, and checking whether they exceed the specified limits for system stability or not. Data generation schemes have been proposed. The proposed recurrent ANN scheme is not sensitive to fault locations. It is only dependent on the post-fault system configuration.