基于风场大数据互信息关联的风电机组性能评估

Mutual Information Association of Wind Farm Big Data Based Performance Evaluation of Wind Turbine

在风电机组现场运行大数据基础上,提出了一种互信息关联分析的风电机组输出功率建模方法;并基于该模型对风机叶片加装涡流发生器前后风电机组的性能进行了评估分析。计算验证结果表明:所建模型能够较好的拟合机组的输出功率;同时在叶片前缘附件加装涡流发生器,可以有效的改善机组的发电性能,提升风机对风能的利用率。

Based on the large-scale operation data of wind turbines,a method for modeling the output power of wind turbines which based on mutual information analysis was proposed.And based on this model,before and after the installation of vortex generators the performance of wind turbines was evaluated.The calculation and verification results show that the model can better match the output power of the unit,and the addition of a vortex generator at the leading edge of the blade can effectively improve the generating performance of the unit and improve the wind turbine utilization.