Electrical and Computer Engineering
2332 Main Mall
Vancouver,
BC
Canada
V6T 1Z4
Tel +1.604.822.2872
Fax +1.604.822.5949
Email:
info@ece.ubc.ca
| Title | Power system stabilization using fuzzy-neural hybrid intelligent control |
| Publication Type | Conference Paper |
| Year of Publication | 2002 |
| Authors | Ko, H. - S., and T. Niimura |
| Conference Name | Intelligent Control, 2002. Proceedings of the 2002 IEEE International Symposium on |
| Pagination | 879 - 884 |
| Keywords | control system synthesis, disturbance suppression, dynamic feedforward compensator, feedback, feedback controller, feedforward neural nets, fuzzy control, fuzzy logic, fuzzy-neural hybrid intelligent control, inverse problems, neural network inverse model, neurocontrollers, one-machine infinite-bus power system, power system control, power system stability, power system stabilization, reference tracking, two layer neural network |
| Abstract | This paper presents fuzzy-neural hybrid control for power system stabilization. The main idea of hybrid control is that the dynamic feedforward compensator can be used for improving the ability to track the reference rather than changing the dynamics, while feedback is used for stabilizing the system and for suppressing disturbances. In this paper, fuzzy logic is applied to design a feedback controller and then a neural network inverse model is obtained for a feedforward compensator. The controller is tested for a one-machine infinite-bus power system under various operating conditions. |
| URL | http://dx.doi.org/10.1109/ISIC.2002.1157878 |
| DOI | 10.1109/ISIC.2002.1157878 |