Distributed Detection and Isolation of False Data Injection Attacks in Islanded AC Microgrids

The problem of vulnerability of secondary control of AC microgrids to cyber-attack has received much attention. However, there is still no suitable method for detecting and localizing attacks in different locations. In this paper, a set of detection methods for the attack locations and attack methods of False Data Injection Attack (FDIA) is designed using Cumulative Sum (CUSUM) method based on the differences in power grid operation brought by FDIA in different locations. Combined with the trigger signal each neighboring node sends and the change in the set amount of features, the source of the attack can be confirmed and the attack can be detected and localized. Finally, the designing process as well as the corresponding simulation results are given.