Application method of generalized predictive control for hydraulic turbine regulating system under frequency control mode
The PID control strategy for hydropower units under frequency control mode has the disadvantage of poor robustness.To address this issue,this paper proposes an adaptive generalized predictive(AGPC)based on double models,real-time feedback linearization,nonlinear characteristic compensator,and generalized predictive con-troller to achieve real-time optimal control of hydropower stations under all operating conditions.Firstly,a high-precision nonlinear hydro-turbine model is constructed based on the BP neural network and the improved salp swarm algorithm,and a nonlinear hydraulic turbine regulation system simulation platform is built by combining modules such as the PID controller,diversion system,servo system,and generator.Then,through quantitative calculations,the irrationality of directly applying generalized predictive controller to the nonlinear hydraulic turbine regulation system is revealed.Furthermore,combining real-time feedback linearization with a nonlinear character-istic compensator designed based on predictive control signals,the application strategy of generalized predictive controller under frequency control mode is proposed for hydropower stations.Finally,a nonlinear hydraulic turbine regulation system simulation platform based on AGPC is built,and the applicability,reliability,and excellent ro-bustness of the proposed control strategy are verified by the real data of a hydropower station.
万方数据
维普
