为提高垂直方向尾流速度的预测精度,基于尾流速度在垂直方向呈现多项式分布的假设,考虑不同高度自然风速对尾流速度的影响,提出一种改进的Jensen尾流模型。以单台风力机作为研究对象,采用Jensen模型、高斯模型和改进的Jensen模型分别对风力机尾流速度进行数值模拟,并基于改进的Jensen模型分析大气稳定性对尾流速度恢复的影响。仿真结果表明,改进的尾流模型精度优于Jensen模型和高斯模型,在下游2.5D、4.0D和8.0D（D为风轮直径）距离处的误差低至7.35%、2.82%和3.44%。尾流速度恢复和大气稳定性密切相关,越稳定的大气层湍流强度越小,越不利于尾流速度恢复。
Abstract
In order to improve the prediction accuracy of the wake velocity in the vertical direction, an improved Jensen wake model is proposed in this paper, which is based on the assumption that the wake velocity presents a polynomial distribution in the vertical direction, and considering the influence on the natural wind speed at different heights on the wake velocity. A single wind turbine is taken as the research object, three models （Jensen model, Gaussian model and improved Jensen model） are used to simulate the wake velocity of the wind turbine respectively. On the basis of the improved Jensen model, the influence of atmospheric stability on wake velocity recovery is analyzed. The simulation results show that the accuracy of the improved wake model is better than that of Jensen model and Gaussian model, and the errors of the improved wake model are as low as 7.35%, 2.82% and 3.44% at 2.5D, 4.0D and 8.0D downstream （D is the diameter of the wind wheel）. The recovery of wake velocity is closely related to atmospheric stability. The more stable the atmospheric turbulence intensity is, the less conducive it is to the recovery of wake velocity.
关键词
尾流 /
风电场 /
风力机 /
大气稳定性 /
多项式分布 /
Jensen模型
Key words
wake /
wind farm /
wind turbines /
atmospheric stability /
polynomial distribution /
Jensen model
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基金
基于无线网络全覆盖的海上风电安全生产管理平台建设研究与应用（XT-KJ-2021012）
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