Optimized Design of Blade Extended Airfoil Thickness based on Improved Quantum Particle Swarm Algorithm
Aiming at the problem of how to balance the load and lift-resistance ratio in order to optimize the airfoil thickness,an improved quantum particle swarm algorithm(IQPSO)is presented to calculate and optimize the airfoil thickness.Take a domestic 2MW wind turbine as an example,the comparisons of the test data of the tip speed ratio,the wind energy utilization,the blade root load,the lift-resistance ratio,the power and the power generation capacity before and after the extension are carried out.The ex-perimental results show that the optimized airfoil thickness is 15%after the blade extension.And on the basis of an average increase of about 3.156%in the lift-to-drag ratio,the loads at the root of the blade in the direction of Mx,My,and Mz are increased by a maximum of 12.3%,12.7%,and 12.5%,respectively.Moreover,andallofthemareinasaferangeof13%,andthepowergeneration capacity is increased by 34.71%in comparison with the historical level.It further illustrates that the lift-to-drag ratio can be improved sharply when the optimization of the blade airfoil thickness is opti-mized using the IQPSO,and the performance enhancement of the wind turbine is achieved to increase the power generation capacity of the wind turbine under the premise of satisfying the loads borne by the blades.
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