Small wind turbine wing type aerodynamic robust optimization design method suitable for turbulent working conditions

Abstract

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.

Description

technical field [0001] The invention relates to the technical field of wind turbines, in particular, it provides an aerodynamic robust design method for small wind turbine airfoils suitable for turbulent flow conditions. Background technique [0002] For small wind turbines, due to the low installation position of the hub, affected by the evolution of atmospheric turbulence, wind shear and surface roughness, they often operate under uncertain and highly turbulent flow conditions. Under the action of uncertain turbulent wind, the flow on the airfoil surface is extremely unstable, and the aerodynamic performance fluctuates greatly, which directly affects the stability of the wind turbine system. In the traditional wind turbine airfoil optimization design, the design variables, objective functions and constraint functions are all deterministic, and the influence of uncertain factors such as turbulence intensity on the design is not considered, so that the optimal solution of th...

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Problems solved by technology

In the traditional wind turbine airfoil optimization design, the design variables, objective functions and constraint functions are all deterministic, and the influence of uncertain factors such as turbulence intensity on the design is not considered, so that the optimal solution of the optimal design is uncertain in practice. Under turbulent flow conditions, the efficiency of wind energy capture decreases and the aerodynamic stability of the system decreases

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