Power network erroneous data injection detection based on coupling relationship mining
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.
coupling relationship miningpower networkerroneous data injectioncluster center
万方数据
维普
