Design Of Intelligent Optimization Algorithm For Aerodynamic Performance Of The Vertical Axis Wind Turbine

Vertical axis wind turbines have gained more and more attention because of their advantages of universal wind,low noise,low installation and maintenance costs,and low center of gravity.But,the relatively low conversion rate of wind energy make it not as widely used as horizontal axis wind turbines.The optimization of the aerodynamic performance of the wind rotor and the new airfoil design are effective means to improve the wind energy conversion efficiency of the wind turbines.In order to solve this problem,an airfoil optimization model based on the simulated annealing algorithm,the theoretical analysis model of the aerodynamic performance of the wind turbines,and a wind turbine parameter optimization model based on improved particle swarm optimization algorithm are established.Combined with the proposed optimization algorithm,the design of a vertical axis wind turbine parameter intelligent optimization system is completed.The thesis mainly completed the following work: established a mathematical model of airfoil optimization based on simulated annealing algorithm,and proposed an intelligent optimization algorithm of airfoil based on this model.After testing and verification of actual examples,the optimized aerodynamic performance of the airfoil has been effectively improved;The theoretical analysis model of the aerodynamic performance of the wind turbines is constructed based on the calculation method of the aerodynamic performance of the double disk multiple stream tube,The model was used to simulate and analyze the influence of parameters such as the number of blades,the chord length of the blade,the radius of the wind rotor,the airfoil and the incoming wind speed on the power factor of the vertical axis wind turbines,Experimental results show that the model has good reliability;The intelligent optimization algorithm of wind rotor parameters based on improved particle swarm optimization algorithm was established,The algorithm is used to optimize the actual calculation example,and the calculation results show that the annual average output power of the optimized wind turbines has increased by 15.30%.Based on the proposed optimization algorithm,the design of the intelligent optimization system for the parameters of the vertical axis wind turbines was completed.Taking the asymmetric NACA63-421 airfoil as an example,the airfoil is automatically optimized,and the lift coefficient,lift-to-drag ratio,and tangential force coefficient of the optimized rear airfoil are significantly improved;Taking the optimized airfoil(Optimized 0018)obtained in Chapter 2 as an example,the automatic optimization of the structural parameters of the wind rotor has been performed.After the optimization,the maximum power coefficient of the wind turbines has been increased by 5.95%,and the average annual output power has been increased by 20.56%.