Distributed Load Sharing under False Data Injection Attack in Inverter-Based Microgrid
In microgrids, distributed load sharing plays an important role in maintaining the supply-demand balance of power. Because False Data Injection (FDI) is one of the crucial threats faced by future microgrids, the study of the impact of FDI on distributed load sharing is of both theoretical merit and practical value. In this paper, we consider the distributed load sharing problem of the microgrids operating in autonomous mode under FDI. Each bus is assumed to be equipped with an agent. Under a well developed distributed load sharing protocol based on multiagent systems, we first construct an FDI attack model, where the attacker is capable of injecting false data into the bus agents. Then, a utilization level is introduced for coordinating generators and its variation is evaluated in the presence of FDI attacks with given injection strategies. The stable region of the microgrid is defined and conditions are given to determine stability. Finally, the theoretical results are validated on the Canadian urban distribution system.
|Keywords||Cyber attacks, Distributed databases, distributed load sharing, false data injection, Frequency control, Frequency conversion, Microgrids, microgrids, Power control, Power system stability, Stability analysis|
|Journal||IEEE Transactions on Industrial Electronics|
Zhang, H. (Heng), Meng, W. (Wenchao), Qi, J. (Junjian), Wang, X, & Zheng, W.X. (Wei Xing). (2018). Distributed Load Sharing under False Data Injection Attack in Inverter-Based Microgrid. IEEE Transactions on Industrial Electronics. doi:10.1109/TIE.2018.2793241