基于一种改进的PSO算法在风力机叶片优化中的应用

USING AN IMPROVED PSO ALGORITHM IN THE WIND TURBINE BLADES OPTIMIZATION DESIGN

建立了一种新的风力机风轮叶片的优化设计模型,在模型中考虑了风场风速在一年中的概率分布.采用给定风力机风轮直径和转速,且叶尖桨距角为零度时,使风力机在整个工作风速范围内和某一给定风速范围内风力机年平均输出功率同时最大为设计目标.并将一种改进的PSO优化算法LDW-PSO算法用于风力机叶片的优化设计.与已有的叶片相比,设计结果显示了其优越性,从而说明了该方法的可行性和实用性.

A new optimization design model was developed to aerodynamically optimize a wind turbine blade geometry. In this model, we considered the probability distribution of the wind speed on the wind farm in a year. The optimizer employs an improved particle swarm optimization （PSO） algorithm which is linearly decreasing weight PSO （LDW-PSO） algorithm for global optimization purposes. The optimization objection is making the designed wind turbine have maximum mean annual output power in all the work wind speed range and some special work wind speed range at the same time while keeping the pitch angle of blade tip be zero, and the wind rotor diameter and rotational speed be a known constant. Compared with the reference blades, the designed blade shows its superiority. So it also indicates that this model is feasible and practicability.