A Review of Cyber-Resilient Smart Grid
World Automation Congress Proceedings
Cyber Resilience, Cyber-Attacks, Cyber-Attacks Detection, Cyber-Attacks Identification, Cybersecurity, False Data Injection (FDI) Attacks, Smart Grid
This paper provides a survey of measurable factors affecting the adoption of cybersecurity enhancement strategies in the smart grid. From power systems operators' point of view, it is crucial to determine to what degree the smart grid can be made resilient against cyber-attacks through the use of efficient resilience enhancement strategies. In the past decade, there have been numerous attempts to improve the resilience of the smart grid against different types of cyber-attacks. This paper mainly focuses on the recently proposed cybersecurity strategies for successfully detecting and identifying False Data Injection (FDI) attacks, and compares and contrasts their accuracy, computational burden, and robustness against external factors, as their main measurable factors. It is challenging to find an all-inclusive solution satisfying all requirements of the smart grid. Hence, a quantitative mean for evaluation of the cyber-attack detection and identification strategies is provided in this paper.
Mohammadi, Fazel; Saif, Mehrdad; Ahmadi, Majid; and Shafai, Bahram. (2022). A Review of Cyber-Resilient Smart Grid. World Automation Congress Proceedings, 2022-October, 28-35.