Power system model predictive load frequency control

In power system automatic generation control, the existence of the generation rate constraints (GRC) and the valve limit on the governor can greatly influence the dynamic responses of the power system. Model predictive control is a popular control strategy which takes systematic account of process input, state and output constraints, thereby is employed to load frequency control to cope with the GRC. The valve limit on the governor is modeled by a fuzzy model so that the local predictive controllers are incorporated into the nonlinear control system. The proposed methodology is tested with an interconnected power system. Simulation results demonstrate the effectiveness of the proposed nonlinear constraint predictive control algorithm.