The Research Of Hydro-turbine Control System Based On Modern Intelligent Control Technology

Hydraulic turbine governing system is a time-varying and non-minimum-phase system, also it is a nonlinear system with the parameters changing along with the operating-point. The conventional hydraulic turbine governing system can't automatically modulate PID parameters according to the dynamic process of the system, the generator speed is unstable and the mains frequency fluctuation appears. To solve the above problem, on the basis of collecting the domestic and international data about hydraulic turbine governing system, the fuzzy neural network control of the hydraulic turbine governing system is proposed. Also, the study includes mathematical models building, simulation and parameters analysis.The multiple-precision mathematic models of the subsystem of hydro generating units is established, and then respectively build the nonlinear model , linear model and classical-ideal model of hydro generating units. Through a comparison between simulation results and field data, study the different application scope of the models, verify the validity of the simulation model, and the superiority of modularized modeling in the simulation for hydropower stations is shown.Based on the hydroelectric generating unit and neural network inverse system control methods, through the invertibility analysis of excitation and water valve system propose a new design method of decoupling controller for hydroelectric generating unit. Theoretical analysis and simulation results show that this control strategy can solve the multi-variable, nonlinear and strongly coupling problem in the hydro electric generating unit control, realized the dynamic decoupling control of system, demonstrates good adaptability and robustness against the changes of model and parameters, and so can effectively increase the transient stability of the power transmission system.In order to overcome the flaw of general hydraulic turbine PID governor, a new self-adaptive PID control based on the modern intelligence control technology is proposed. First divide the condition of hydraulic turbine according to synthetic characteristic curve, then calculate the optimal parameter for different conditions using a improving genetic algorithm, and smoothly switch the parameter by means of ANN. The simulation result shows that the new control method has excellent static and dynamic performance, in addition, it has a strong robust performance.