A False Data Injection Attack Detection Strategy for Unbalanced Distribution Networks State Estimation

• Published in: IEEE transactions on smart grid Vol. 14; no. 5; pp. 3992 - 4006
• Main Authors: Wei, Shuheng, Xu, Junjun, Wu, Zaijun, Hu, Qinran, Yu, Xinghuo
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.09.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cybersecurity; Distribution networks; False alarms; false data injection attack (FDIA); forecasting-aided state estimation (FASE); innovation vectors; Kalman filters; Likelihood ratio; Mathematical models; Measurement; Meters; Networks; Outliers (statistics); Power measurement; State estimation; Technological innovation; Unbalanced distribution networks

With the advance in communication facilities and information technologies, the state estimation (SE) of distribution networks is subject to intensified cybersecurity threats caused by false data injection attacks (FDIAs). To address the issues, this paper proposes a novel FDIA detection strategy for...