考虑偏航效应的新型三维风力机尾流模型

The paper proposes a simplified 3D yaw-aware wake model (3D_k-yaw Jensen) to mitigate power loss from wake effects and enable yaw optimization in wind farms. It extends the 3D_k Jensen model by incorporating mass/momentum conservation under yaw, accounting for inflow conditions, terrain, turbine aerodynamics, and operation states, especially yaw-induced wake center offset and velocity distribution. Validated via LES and UAV field measurements, it accurately predicts lateral/vertical wake evolution across diverse turbines, wind conditions, and yaw angles.

该文提出一种形式简单、便于计算的新型三维偏航尾流模型(3D_k-yaw Jensen模型),以减缓尾流效应引起的发电量亏损,实现风电场的偏航优化策略.该模型基于3D_k Jensen模型进行改进,引入偏航状态下质量及动量守恒定理,综合考虑入流风况、局地地理信息、机组气动特性及运行工况等多种因素对尾流的影响,同时计及偏航效应对尾流中心偏移和尾流风速分布的影响.通过大涡模拟仿真和无人机外场测量算例,较为全面地验证了模型精度和通用性.结果表明对于不同机型、不同入流风况、不同偏航角条件,3D_k-yaw Jensen模型均较准确地预测了其横向和垂向的尾流速度分布及其发展规律.