The invention discloses a
small wind turbine wing type aerodynamic
robust optimization design method suitable for turbulent working conditions, belonging to the technical field of wind turbines. The invention adopts the non-embedded probability
collocation point method in the design to realize the quantitative characterization of the turbulence intensity of the uncertain parameter. Through the improved Hick-Henne type function parameterization method, Latin
hypercube test method and CFD numerical calculation method, the
kriging agent model between design variables, uncertain parameters and themaximum lift-to-drag ratio of the airfoil is established. On this basis, a
robust optimization mathematical model is established to maximize the mean value of the maximum lift-to-drag ratio and minimize the standard deviation of the wind
turbine wing under uncertain turbulent conditions. The non-embedded probabilistic configuration
point method, the
kriging proxy model, and the NSGA-II optimization
algorithm are used to optimize the wind
turbine airfoil. The invention improves the maximum lift-drag ratio of the airfoil, reduces the fluctuation range, improves the wind energy capture efficiency, and enhances the aerodynamic robustness under the turbulent condition. At the same time, the computational
workload of
robust optimization design is reduced, and the optimization efficiency is improved, which provides an important reference for the optimization design of wind
turbine wing under turbulent conditions.