A Two-Layered Self-Tuning Fuzzy Controller For Interconnected Power Systems

In this paper, a two-layered load-frequency controller with a fuzzy pre-compensator and a self-tuning stabilizer is designed. The proposed controller is able to damp and to track the steady-state error of the frequency, the output power and the tie-line power deviations. A two-area reheat thermal power system is considered to verify the effectiveness of the controller. Simulations results indicate that the proposed controller is insensitive to parameter changes and to speed-governor dead-zone in a wide range of operation conditions, with and without generation rate constraints (GRC). In addition, the proposed scheme requires less training time and patterns compared to a neural network adaptive scheme