A self-learning adaptive network-based fuzzy logic power system stabilizerin a multi-machine power system

The application of an adaptive-network-based fuzzy logic power system stabi lizer (ANF PSS) to a five-machine power system environment is described in this paper. A multi-layer adaptive network is employed to design a fuzzy lo gic PSS with self-learning capability; the fuzzy inference rules and member ship functions are tuned automatically, without resorting to another existi ng controller. Details of the design process are given and the effectivenes s of the proposed stabilizer to damp multi-mode oscillations is investigate d. Studies also show that there is no conflict between the proposed ANF PSS and other types of power system stabilizers on the system.