Stabilization control for power systems by nonlinear state feedback control using neural networks

In this paper, we present a nonlinear state feedback control using a neural network (NN). Since the NN models the nonlinear excitation controller using only measurable state variables from the synchronous generators, the proposed method can be implemented in a real system easily. The effectiveness of the proposed method is demonstrated by computer simulations for single- and multiple-machine power systems. Furthermore, the NN is implemented on the experiment system with a laboratory-size 2.2-kVA synchronous generator. © 2002 Wiley Periodicals, Inc. Electr Eng Jpn, 139(3): 26–34, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.1157