基于S变换和k-means聚类的输电线路故障识别

Transmission Line Fault Identification Based on S Transform and k-means Clustering

根据正常电路和故障电路特征电流存在的差异,提出基于S变换和k-means聚类的输电线路故障识别方法。通过S变换的方式,获取线路特征电流的故障特征量,应用熵权法计算出变换综合相对熵,找出线路之间的差异。然后,使用k-means聚类的方法识别出故障线路。通过仿真试验验证,该故障识别方法准确率较高、适应性强。

According to the difference of typical current between normal circuit and fault circuit,based on S Transform and K-means clustering,it proposed the fault identification method of transmission line.By means of S transform,it obtained the fault characteristic of line typical current.By using the entropy weight method to calculate the comprehensive relative entropy and find out the difference of lines.Then,it used the K-means clustering method to identify the fault transmission lines.The simulation experiment results showed that the fault identification method had high accuracy and strong adaptability.