Adaptive power control modeling and simulation of a hydraulic turbine

This paper describes the dynamic behavior of hydraulic turbine power control. The water inertia effect is a factor that makes difficult to maintain stability under isolated operation or to have fast response in case of load change in the whole operational range. A nonlinear hydraulic system model is investigated. Linear models for different load conditions using identification procedure are obtained. Two approaches for hydro turbine power control algorithms are studied. They are based on multiple model adaptive control algorithm and gain scheduling technique. The Smith predictor scheme is investigated in order to accelerate the conventional controller action applied to the nonlinear plant model. A multiple model adaptive control system based on the Smith predictor is proposed. Simulation models of the hydro generator control system are created. Surge-free transition between different operational points is accomplished. Simulations with different controllers under different load conditions are carried out in order to explore the system performance.