This article describes how to improve the stability of a multimachine power system by simultaneously adjusting the PSS and static VAR compensator parameters with a Particle Swarm Optimized NeuroFuzzy controller. The controller works to enhance the dampening of the rotor speed deviations of its nearby generators by providing a reference voltage signal for the PSS & SVC. The field of intelligent control involves creating control algorithms by modeling specific traits of intelligent biological systems. The controller is trained offline by PSO and simulation results that describe the performance of the NeuroFuzzy controller are provided in order to provide nonlinear optimum control during abnormal operating circumstances of the power systems.