An online adaptive neuro-fuzzy power system stabilizer for multimachine systems

A fuzzy-logic-based adaptive power system stabilizer (PSS) is proposed in this paper. The parameters of the fuzzy-logic-based PSS are tuned by neural networks online. The system is divided into two subsystems, a recursive least square identifier with a variable forgetting factor for the generator and a fuzzy-logic-based adaptive controller to damp oscillations. 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; a two-area, 4-machine, 13-bus system, and a 16-machine, 68-bus system.