Decentralized neuro-fuzzy controller based on input-output linearization for multimachine power systems

Power systems have uncertain dynamics due to various effects such as lightning, severe storms and equipment failure in addition to interconnections between generators. The variation of the effective reactance of a transmission line due to a fault is an example of uncertainty in the system dynamics. Hence a robust controller to deal with these uncertainties is needed. Neuro-fuzzy controllers have been previously successfully applied in many cases where conventional control algorithms are difficult to apply due to lack of adaptivity and robustness. In this paper, we present a decentralized neuro-fuzzy controller for the transient stability and voltage regulation of a multimachine power system under a sudden fault. Simulation results show that satisfactory performance is achieved by the proposed controller.