双馈风力发电机组的分群方法研究

Clustering Method for DFIG-Based Wind Turbines

风电机组的分群对提高风电场等效建模的精度具有重要的意义。首先分析了常用分群方法的优缺点,在此基础上提出了一种基于双馈风电机组(DFIG)动态特性曲线分群的方法。将故障条件下DFIG动态特性曲线的相似度作为分群指标,运用系统聚类法对风电机组进行分群。然后又利用该分群方法,对风电机组运行状态曲线进行分区,从而得到一种快速的分群策略。最后通过仿真,对比分析了采用不同风电机组分群方法时风电场等效建模的精度,验证了所提出的风电机组分群方法的有效性和可行性。

The clustering of wind turbines is of important significance for improving the accuracy of equivalent wind farm modeling. Therefore, the advantages and disadvantages of the conventional methods were analyzed, based on which, a clustering method according to the dynamical characteristic curves of doubly-fed wind turbines （DFIG） was then proposed. By using this method, the similarities of dynamical characteristic curves of DFIGs under faulty condition are firstly calculated to be the cluster index. Based the calculation, the hierarchical clustering method is used to cluster the wind turbines. Secondly, wind turbine operations can be segmented with the proposed clustering method, and the segmentation way is verified by the simulation. In the final section, the comparisons among different clustering methods are carried out. The result has demonstrated the feasibility of the proposed method.