A neuro-fuzzy power system stabilizer with self-organizing map for multi-machine systems

A neuro-fuzzy adaptive power system stabilizer with self-organizing map is proposed in this paper. The controller is divided into two subsystems, the self-tuning identifier with variable forgetting factor for the generator and the fuzzy logic-based adaptive controller tuned by an on-line neural network. The parameters of the fuzzy logic based PSS are divided into two categories, so do the on-line training algorithms for updating the parameters. The effectiveness of the proposed PSS in increasing the damping of local and inter-area modes of oscillation is demonstrated in a one-machine-infinite-bus system and a two-area system.