A Lyapunov function neuro-adaptive controller for LFC in two-area power system

Dynamic variations in real power directly affects the system frequency. Consequently, large frequency deviations in interconnected systems might cause costly power outages. In order to maintain continuous and stable power production, the load frequency control (LFC) becomes utmost important. This paper presents a neuro-adaptive controller that minimizes the effects of load variations on system frequency and tie-line exchanges. The proposed controller is trained with a new Lyapunov function backpropagation learning algorithm that overcomes the fundamental problems associated with the conventional gradient-descent error backpropagation. Computer simulations, performed in Simulink environment, demonstrate superior load frequency control achieved with the proposed controller.