| Title | Detection and Mitigation of Coordinate False DataInjection Attacks in Frequency Control of Power Grids |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Oshnoei, Soroush, Aghamohammadi, Mohammadreza |
| Conference Name | 2021 11th Smart Grid Conference (SGC) |
| Date Published | dec |
| Keywords | Chi-square detector, command injection attacks, composability, Coordinate measuring machines, Detectors, False Data Injection, Frequency measurement, information and communication technology, Kalman filter, load frequency control, Metrics, pubcrawl, Resiliency, resilient controller, simulation, Smart grids, Time-frequency Analysis |
| Abstract | In modern power grids (PGs), load frequency control (LFC) is effectively employed to preserve the frequency within the allowable ranges. However, LFC dependence on information and communication technologies (ICTs) makes PGs vulnerable to cyber attacks. Manipulation of measured data and control commands known as false data injection attacks (FDIAs) can negatively affect grid frequency performance and destabilize PG. This paper investigates the frequency performance of an isolated PG under coordinated FDIAs. A control scheme based on the combination of a Kalman filter, a chi-square detector, and a linear quadratic Gaussian controller is proposed to detect and mitigate the coordinated FDIAs. The efficiency of the proposed control scheme is evaluated under two types of scaling and exogenous FDIAs. The simulation results demonstrate that the proposed control scheme has significant capabilities to detect and mitigate the designed FDIAs. |
| DOI | 10.1109/SGC54087.2021.9664078 |
| Citation Key | oshnoei_detection_2021 |
Detection and Mitigation of Coordinate False DataInjection Attacks in Frequency Control of Power Grids