文章提出了一种基于相似度同调的双馈风电场聚合方法。首先利用Prony算法提取各风电场中双馈风机故障下功率响应曲线的动态特征，基于相似理论确定双馈风机间振荡模式中相似部分，应用相似振荡模式中的频率、阻尼、幅值等信息定义了双馈风机同调判别的相似度量化指标并确定同调机群。然后，根据双馈风机的外特性，提出功率聚合算法，即以双馈风机输出有功功率为权重求取等值机的暂态内电势并确定等值母线及等值机参数。该方法从同调机群识别、同调母线聚合、同调机群参数聚合等方面，系统地解决了不同双馈风电场的同调聚合问题。参数聚合方法不仅解决了聚类分群的复杂性和局限性，而且有效保留原系统中电气与结构特征。最后以实际云南电网中某地区风电场为例进行仿真验证。

In this paper, a double-fed wind farm polymerization method based on similar coherency is proposed. Firstly, Prony algorithm is used to extract the dynamic characteristics of doubly-fed induction generators （DFIG） in wind farms. Similarity theory is used to find the similar parts of oscillation modes between doubly-fed induction generators. And the frequency, damping, amplitude and other information in the similar oscillation mode are used to define the similar metrics of the coherent discrimination of the DFIG and determine the coherent cluster. Then, according to the external characteristics of the DFIG, a power aggregation algorithm is proposed. The transient internal potential of the equivalent generator is obtained using the active power output of the DFIG as the weight, and the parameters of the equivalent bus and the equivalent generator are obtained. This method systematically solves the problem of coherent aggregation of different doubly-fed wind farms from the aspects of coherent cluster identification, coherent bus aggregation, and coherent cluster parameter aggregation. It effectively solves the complexity and limitations of clustering and proposes a method for simplification of buses for coherent doubly-fed clusters. The parameter aggregation method effectively preserves the electrical and structural characteristics of the original system. Finally, the simulation is conducted with the example of wind farms in an area of Yunnan Power Grid.