中文摘要：

在风力发电过程中，由于负荷需求量的不同，存在对风力发电量的限制，弃风现象普遍存在。奔风数据的存在会对风电功率预测和风电场等值模型的建立产生较大影响，因此对弃风数据的剔除非常关键。对此，分析了正常运行数据的特征和弃风数据的特点，在风电机组的标准风速一功率传变特性（功率曲线）的基础上，依据正态分布的均值和标准差提出了粘滞区间的概念。并基于此建立了对弃风数据进行辨别与剔除的方法。以东北某风电场的实测数据为例，对含有弃风的数据进行剔除，验证了所提方法的有效性。

英文摘要：

In wind power production, wind power generation is limited by load demand variation. This usually leads to wind curtailment. It is very important to identify wind curtailment data because their existence has huge impact on wind power prediction and wind farm equivalency modeling. Characteristics of normal operation data and wind curtailment data are analyzed and compared. Based on standard wind turbine speed to power transfer curve, concept of viscosity range is proposed according to the mean and standard deviation of normal distribution. A wind curtailment data identification and elimination method is established. The application on one of wind farm in Northeast area validates the effectiveness of proposed method.