ANN-Based Secure Control of Islanded Microgrid Under False Data Injection Cyber-Attack
Conference
Kharchouf, I, Abdelrahman, MS, Mohammed, OA. (2023). ANN-Based Secure Control of Islanded Microgrid Under False Data Injection Cyber-Attack
. 10.1109/IAS54024.2023.10406659
Kharchouf, I, Abdelrahman, MS, Mohammed, OA. (2023). ANN-Based Secure Control of Islanded Microgrid Under False Data Injection Cyber-Attack
. 10.1109/IAS54024.2023.10406659
AC microgrids may be a target of cyber-attacks such as False Data Injection attack (FDIA) or Denial of Service attacks due to the use of communication technologies. These types of attacks target the communication infrastructure or the control system itself. For instance, FDIAs aim to inject false data into AC microgrids to disrupt the control system. Techniques that detect and mitigate the effect of such attacks are needed. This paper presents an AC microgrid that is structured by parallel inverters and controlled by distributed consensus control strategies to control the frequency and voltage magnitude through active and reactive power. We will investigate the FDIAs effect on the AC microgrid operation. A viable solution to address the FDIA attacks in AC microgrids is developed using an ANN-based reference tracking application to detect and mitigate the attack. The simulation results proved that the proposed strategy could detect and mitigate FDIA attacks especially if the ANN is well trained.
