A new dynamic equivalent modeling method for a wind farm composed of direct-drive wind turbines is proposed. Firstly, the effective input wind speed is calculated considering the wake effect and wind direction change between wind turbines, the operating characteristics is analyzed, the effective wind speed, rotor speed, pitch angle and output power that reflect the wind turbine operating characteristics are selected as the multi-grouping indicators. Secondly, an adaptive sample weighting fuzzy C-means clustering algorithm (ASW-FCM) considering the differences and correlations among turbines operating conditions is designed to cluster the wind farm optimally. Then the equivalent model of the clustered wind turbine group is established based on the principle that the output characteristics before and after the equivalence are equal. Finally, an actual wind farm system is used as an example for modeling and simulation to verify the rationality and accuracy of the equivalent modeling method.

中文翻译：

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基于ASW-FCM的集群风电机组等效建模算法研究

提出了一种新的直驱风电机组风电场动态等效建模方法。首先计算考虑风力机间尾流效应和风向变化的有效输入风速，分析运行特性，选取反映风力机运行特性的有效风速、转子速度、桨距角和输出功率为多组指标。其次，考虑涡轮机运行条件之间的差异和相关性，设计了自适应样本加权模糊C均值聚类算法（ASW-FCM）以对风电场进行最佳聚类。然后根据等效前后输出特性相等的原则，建立集群风电机组等效模型。最后，