Detection and Identification of Cyber and Physical Attacks on Distribution Power Grids with PVs: An Online High-Dimensional Data-driven Approach.

Li, Fangyu; Xie, Rui; Yang, Bowen; Guo, Lulu; Ma, Ping; Shi, Jianjun; Ye, Jin; Song, WenZhan.

Afiliação

Li F; Song are with Center for Cyber-Physical Systems, University of Georgia, Athens, GA 30602, USA.
Xie R; Department of Statistics and Data Science, University of Central Florida, Orlando, FL 32816 USA.
Yang B; Song are with Center for Cyber-Physical Systems, University of Georgia, Athens, GA 30602, USA.
Guo L; Song are with Center for Cyber-Physical Systems, University of Georgia, Athens, GA 30602, USA.
Ma P; Department of Statistics, University of Georgia, Athens, GA 30602, USA.
Shi J; H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Ye J; Song are with Center for Cyber-Physical Systems, University of Georgia, Athens, GA 30602, USA.
Song W; Song are with Center for Cyber-Physical Systems, University of Georgia, Athens, GA 30602, USA.

IEEE J Emerg Sel Top Power Electron ; 10(1): 1282-1291, 2022 Feb.

Article em En | MEDLINE | ID: mdl-36090809