基于耦合关系挖掘的电力网络错误数据注入检测  

Power network erroneous data injection detection based on coupling relationship mining

作　　者：程力 李滢 黄玉虎 马李思思 段伟 CHENG Li;LI Ying;HUANG Yuhu;MA Lisisi;DUAN Wei(Anhui Mingsheng Power Investment Group Co.,Ltd.,Hefei 230071,China;Anhui Mingsheng Hengzhuo Technology Co.,Ltd.,Hefei 230031,China)

机构地区：[1]安徽明生电力投资集团有限公司,安徽合肥230071 [2]安徽明生恒卓科技有限公司,安徽合肥230031

出　　处：《电子设计工程》2025年第1期127-131,共5页Electronic Design Engineering

基　　金：国网安徽电力2021年科技项目(5416J02021LB)。

摘　　要：为了提高电力网络稳定性和脆弱性评估的准确性,以及有效地检测和处理错误数据注入问题,提出了基于耦合关系挖掘的电力网络错误数据注入检测方法。根据电力网络与注入错误数据耦合关系,挖掘电力网络与错误注入数据之间一对一、一对多、多对多对应关系。根据耦合关系挖掘结果,构建电力网络错误数据注入检测模型,结合时间更新数据完成电力网络错误数据注入检测。由检测评估结果可知,该方法能够确定所在区域是脆弱区域,与实际区域一致。网络崩溃指数在0.9~1.0范围内波动,与实际模块2所处情况一致,具有精准的检测结果。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 

分 类 号：TN92[电子电信—通信与信息系统]