Parameter Identification Of Turbine Model And Control Optimization Of Its Regulating System

Hydroelectric generating set is a non-linear,time-varying,non minimum phase complex system involving water electromechanical coupling,which is difficult to be described by accurate mathematical model.Using the theory and method of system identification to identify the turbine model is one of the research hotspots.In this paper,based on the previous research,a relatively clear physical meaning and complete model of hydraulic turbine regulation system is established through some derivation.The problem of parameter identification of hydraulic turbine model is studied by using intelligent identification algorithm.Secondly,based on the neural network and fuzzy control theory,the identification of the improved turbine model and the optimal control parameters of the turbine control system are studied.The simulation results show that the turbine model obtained by parameter identification has a high degree of fit with the actual(sample pair)data.The PID control and the fuzzy neural network control based on the intelligent optimization algorithm can improve the transient process of the hydroelectric generating unit under the disturbance of load and frequency to a certain extent,and have good control quality.The main contents of this paper are as follows:(1)According to the four main components of water diversion system,hydraulic turbine,speed controller,the derivation and modeling of the subsystem are carried out respectively.(2)Referring to the hydraulic turbine model and the improved model given by IEEE working group for different situations,the mathematical model which accords with the actual input-output response and can be identified is selected and established.The physical parameters of the object to be identified are directly identified by the least square identification algorithm and the optimal control theory.The nonlinear hydraulic turbine model considering the hydraulic loss of the guide mechanism is identified by genetic algorithm,and the model parameters which are consistent with the actual(sample pair)are obtained.(3)The Simulink module of MATLAB is used to build the simulation platform of the whole unit.In this paper,the simulation of the hydraulic turbine governing system with multi disturbance is carried out.(4)Select the identified precise turbine model,lead into the whole unit simulation platform,form a complete regulation system model,use the fuzzy control theory to optimize the PID control parameters,and form the fuzzy PID controller package module,and compare with the original PID regulation system model of control parameters to prove its better control performance.On this basis,the fuzzy neural network controller is formed,which has better control quality than the fuzzy adaptive PID controller.