Nonlinear stabilizer design in power systems using neural network

Many applications of artificial neural networks (ANN) have been attempted in control systems. This work considers the nonlinear control design for power systems using ANN. The one-axis model is used for dynamic description of a single synchronous generator. The controller includes a state feedback linearizer and a robust stabilizer. The backpropagation network is proposed for the controller, and its output provides desired PSS parameters. After training, the ANN is used to adjust the control parameters which are able to stabilize the systems subjected to the occurrence of parametric uncertainties