Attack Detection for Spoofed Synchrophasor Measurements Using Segmentation Network  

作　　者：Wei Qiu Chengcheng Li Qiu Tang Kaiqi Sun Yilu Liu Wenxuan Yao 

机构地区：[1]College of Electrical and Information Engineering,Hunan University,Changsha 410082,China [2]Department of Electrical Engineering and Computer Science,University of Tennessee,Knoxville,TN,37996,USA [3]Oak Ridge National Laboratory,Oak Ridge,TN,37831,USA

出　　处：《CSEE Journal of Power and Energy Systems》2022年第5期1327-1337,共11页中国电机工程学会电力与能源系统学报（英文）

基　　金：This work is supported in part by the CURENT Industry Partnership Program,in part by the Engineering Research Center Program of the National Science Foundation,DOE under NSF Award Number EEC-1041877;in part by the National Natural Science Foundation of China under award number 52177078;in part with the project funded by China Postdoctoral Science Foundation under award number BX20220102.

摘　　要：Synchrophasor measurements are essential to realtime situational awareness of the smart grid but vulnerable to cyber-attacks during the process of transmission and invocation.To ensure data security and mitigate the impact of spoofed synchrophasor measurements,this work proposes a novel object detection method using a Weight-based One-dimensional Convolutional Segmentation Network(WOCSN)with the ability of attack behavior identification and time localization.In WOCSN,automatic data feature extraction can be achieved by onedimensional convolution from the input signal,thereby reducing the impact of handcrafted features.A weight loss function is designed to distribute the contribution for normal and attack signals.Then,attack time is located via the proposed binary method based on pixel segmentation.Furthermore,the actual synchrophasor data collected from four locations are used for the performance evaluation of the WOCSN.Finally,combined with designed evaluation metrics,the time localization ability of WOCSN is validated in the scenarios of composite attacks with different spoofed intensities and time-sensitivities.

关 键 词：Data security spoofed synchrophasor measurements weight-based one-dimensional convolutional segmentation network(WOCSN) 

分 类 号：TM73[电气工程—电力系统及自动化]