Blades are an important component that affects the reliability and stability of wind turbines,and well-designed blades can improve the operating life and output power of wind turbines.Based on the momentum blade element theory,the wind turbine blade is optimized.Considering the wind speed in the wind farm,the annual energy output of the wind turbine is taken as the optimization objective,and the particle swarm optimization algorithm is used to calculate and analyze the aerodynamic performance of 15 MW wind turbine blades.The simulation results show that the output power value of the optimized blade wind turbine has increased significantly,which proves the practicability and effectiveness of the optimized model,and has practical guiding significance for wind turbine-related engineering projects.
基于粒子群算法的风力机叶片优化设计
[J]. 沈阳化工大学学报, 2022, 36(6): 544-547.
LIU Huan, ZONG Xue-jun, LI Peng-cheng.
Research on Optimization Design of Wind Turbine Blade Based on Particle Swarm Algorithm
. Journal of Shenyang University of Chemical Technology, 2022, 36(6): 544-547.
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