Research On Wind Turbine Generator System Multi-Objective Optimization Control

In recent years,wind energy has been developed and widly used,and the wind turbine works as the device which can transfer the wind energy into electric power has also received increasing attention from scientific research.Wind the growth of technology,maximum power tracking below the rated wind speed and stable constant power output above the rated wind speed are too simple to meet current requirements that different optimization objectives should also be considered for wind turbines.During the above rated wind speed region,the importance of power stability is self-evident,but,whether the operation of generator speed and torque is stable,the pitch angle action is frequent,and the load status of the unit can be accepted also needs attention and be considered into the controller design.The optimization method in detail is:first,tell the response difference between different wind turbine state parameters when adjust the pitch control or generator torque control separately based on the simulation tests,and then find the controller parameters which can achieve the balance between different optimization target and achieve the wind turbine multi-objective optimization.The main research work is as follows:Clear influence of generator torque control and pitch angle control effect on the wind turbine main state parameters,and obtained the existing conflicte optimization objectives in single control parameter adjustment by the poles placement based wind turbine control,then the two-level parameters-controllers coordinated optimization system is established.Analyze the multi-objective difference characteristics in each controller's regulation quantitatively,and realize qualitative analysis of the optimal frontier by the Pareto optimization theory,analysis the gradients for each data points on the Pareto frontier to find a satisfactory soluion and achieve the wind tubine multi-objective optimization.Select the wind turbine loads characteristic parameter by parameter correlation analysis to characterize the blade loads and shaft loads,and further optimize the wind turbine based on model predictive control(MPC)for the load-power dual-objective coordinated optimization.During optimizations,a satisfactory solution and the optimal power solution on the Pareto frontier are selected as the start and end points to forms a satisfactory interval,the MPC control input weight matrix on the satisfactory interval are obtained.the controllers participation and select the satisfactory solutions.Based on the selected satisfactory solutions,the control weight matrix is set to variable with the wind conditions through wind status assessment,and the proposed strategy is compared in wind turbine working conditions and load conditions to verify its effectiveness.