Research On Smart Wind Turbine Modeling And Control

In recent years,with the development of wind power generation technology,in order to obtain wind power to a larger extent,the rated power and the blade size of the wind turbine are continuously increasing.However,the large-scale development of wind turbines aggravates the fatigue and extreme loads of the wind turbines,which not only increases the manufacturing cost and maintenance cost of the wind turbines,but also increases the difficulty of controlling the wind turbines.This paper mainly focuses on modeling and control of intelligent blade wind turbine with trailing edge flaps(TEFs).The main work and research results of this thesis are summarized in the following three aspects:1)Different TEF structure parameters have a great influence on the aerodynamic performance of the wind turbine.Therefore,before the smart blade wind turbine research,the optimal TEF parameters must be determined.National Renewable Energy Laboratory(NREL)5MW reference wind turbine is taken as the research object and an aero-servo-elasticity platform is developed on Matlab/Simulink with the re-development FAST code.Then,under 11.4m/s steady wind condition,considering effects of length,chord length ratio and position of TEF on load suppression and power capture of wind turbine,an optimization scheme of TEF parameters based on orthogonal design method is introduced,and a group of optimal parameters is obtained.Through point estimation and interval estimation of the optimal TEF parameters,it is verified that the optimal TEF parameters meets the simulation optimization objectives.2)At present,the modeling research on the traditional wind turbine is relatively mature,but there isn't a detailed study on the modeling of the smart blade wind turbine with TEFs.Therefore,on the basis of the above optimal TEF parameters.two individual TEFs is added to each blade of NREL 5MW reference wind turbine.A smart blade wind turbine model with TEFs is developed on Matlab/Simulink by building the aerodynamic model,drive chain model,generator model and TEFs actuator model.FAST aero-servo-elasticity platform is used to verify the smart blade wind turbine model,the 4?24 m/s step wind condition,the normal turbulent model wind condition and the 15m/s steady wind condition are used to verified the present model.Simulation results show that,compared with FAST,the smart blade wind turbine model has a similar overall change trend,with its parameters deviations less than 10%.3)Aiming at the control problem of wind turbine loads and power for multiple TEFs at the same time,based on the smart blade wind turbine model,a multi-objective TEFs controller is designed to control both loads and output power by controlling six independent TEFs of three blades.The simulations report reduction rate of blade 1 flapwise root moment power spectral density up to 89.73%at 1P frequency,and reduction rate of generator power standard deviation up to 75.07%.