In order to improve the accuracy of power network stability and vulnerability assessment,as well as effectively detect and handle erroneous data injection issues,a method for power network erroneous data injection detection based on coupling relationship mining is proposed.Based on the coupling relationship between power network and injection error data,mining the one-to-one,one-to-many,and many-to-many correspondence between power network and injection error data.Based on the results of coupling relationship mining,a power network error data injection detection model is constructed,and combined with time updated data to complete power network error data injection detection.According to the detection and evaluation results,this method can determine that the area is a fragile area,which is consistent with the actual area.The network crash index fluctuates between 0.9 and 1.0,which is consistent with the actual situation of module 2 and has accurate detection results.
关键词
耦合关系挖掘/电力网络/错误数据注入/聚类中心
Key words
coupling relationship mining/power network/erroneous data injection/cluster center
维普
万方数据