Adaptive-network-based fuzzy logic power system stabilizer

An adaptive network-based fuzzy logic power system stabilizer (ANF PSS) is presented in this paper. This method combines the advantages of artificial neural networks (ANNs) and fuzzy logic control (FLC) schemes together to design a new PSS. In this approach, a fuzzy logic based PSS with learning ability has been constructed and is trained directly from the input and the output of the generating unit. The proposed PSS employs a multilayer adaptive network with the error backpropagation training method. Results show that the proposed ANF PSS can provide good damping of the power system over a wide range and significantly improve the dynamic performance of the system