Optimal robust adaptive fuzzy synergetic power system stabilizer design

A new particle swarm optimized robust indirect adaptive power system stabilizer is developed based on recently developed synergetic control methodology. Fuzzy systems are used in an adaptive scheme to approximate the system using a nonlinear model while synergetic control guarantees robustness and the use of a chatter free continuous control law which makes the controller easy to implement. In addition the controller parameters are optimized using PSO approach. Simulation of severe operating conditions of a power system is conducted to validate the effectiveness of the proposed approach while stability is guaranteed via Lyapunov synthesis.

► Nonlinear model of power system.
► Fuzzy sets used to approximate nonlinear system functions.
► Synergetic control in an indirect adaptive fuzzy power system stabilizer.
► PSO of synergetic controller parameters using an ITAE criterion.
► Simulation of three phase short-circuit fault upon four operating conditions.