Adaptive fuzzy reference model control of multi-machine power systems

Abstract

This paper is concerned with the application of an adaptive fuzzy logic controller to both single and multi-machine power system simulations. Significant reductions in the amount of required calculations have been made which allow for a very computationally efficient design. A novel on-line training algorithm has been developed to reduce the error between the plant output and a reference model output. The controller is shown to provide excellent regulation for various disturbances over a wide range of operating conditions. Multi-machine analysis shows the ability of the fuzzy logic controller to damp multi-modal oscillations much more effectively than conventional algorithms.