Research On The Advanced Control Strategy Of Hydro-turbine Regulating System

Water turbine governor is an important equipment of the hydroelectric generating unit. The control strategy of water turbine governor plays a vital role in keeping hydroelectric generating unit running safely, steadily. It also affects the quality of the power supplied to the users directly. With the development of control theory and the improved demand of the control performance for hydro-turbine regulating system, the research on hydro-turbine regulating system's intelligent control become very necessary. On the basis of summarizing the present regulating principle of hydro-turbine regulating system and its applied achievement, the study on hydro-turbine regulating system's advanced control strategy that is the combination of PID and intelligent control is carried out in this paper.The research of hydro-turbine regulating system's control strategy relies on the mathematic model of the water turbine governor. Hydro-turbine regulating system is nonlinear, and in the dynamic mathematic control model, its carry-out factor is varied with the operating condition. For the sake of application, a new model is promoted and the characteristic curve of hydraulic turbine governor is rebuilt by 3D visualization, so as to conveniently compute the transport coefficients of the turbine's operating point.In order to obviously improve dynamic characteristics of the turbine regulating system, through the study of neural network and GA, , the paper conceive a method to combine intelligent control and PID control together ,and give an upswing incremental single neural network PID controlalgorithm and a self-adaptive PID control based on GA are created. After that, the application on the turbine regelating system control is given.Base on the environment of MATLAB/Simulink, simulation models for normal PID control, upswing incremental single neural network PID control and self-adaptive PID control based on GA are presented respectively. By analysis of the simulation results, the feasibility and superiority of advanced control strategy are proved.