基于偏航尾流模型的风电场功率协同优化研究

为减小风电场尾流效应的影响,提升风电场整体发电量,提出一种基于偏航尾流模型的风电场功率协同优化方法。首先建立风电场偏航尾流模型,该模型包括用于计算单机组尾流速度分布的Jensen-Gaussian尾流模型、尾流偏转模型及多机组尾流叠加模型,对各机组风轮前来流风速进行求解;再根据来流风速计算风电场输出功率,并以风电场整体输出功率最大为优化目标,利用拟牛顿算法协同优化各机组轴向诱导因子和偏航角度。以4行4列方形布置的16台NREL-5 MW风电机组为对象进行仿真研究。结果表明,所提出的基于偏航尾流模型的风电场功率协同优化方法能显著提升风电场整体输出功率。

STUDY ON POWER COLLABORATIVE OPTIMIZATION OF WIND FARM BASED ON YAW WAKE MODEL

In order to reduce the wake effect and improve the overall power output of wind farms, a wind farm power collaborative optimization method based on yaw wake model was proposed. Firstly, a yaw wake model of wind farms was established for calculating the incoming wind speed of each wind turbine. The yaw wake model involved the Jensen-Gaussian wake model to calculate the velocity distribution of single unit wake, as well as the wake deflection model and the wake superposition model of multiple wind turbines. Then, the wind farm power output was calculated by the incoming wind speed of each wind turbine. The optimization objective was set to maximize the overall power output of wind farms, and an algorithm based on quasi Newton method was used to collaboratively optimize the axial inducement factor and yaw offsets of each wind turbine. The simulation of 16 NREL-5 MW wind turbines that were arranged in four rows and four columns was carried out. The results showed that the proposed wind farm power collaborative optimization method based on yaw wake model could significantly improve the overall power output of wind farms.