False data injection attacks on inverter-based microgrid in autonomous mode

Abstract In microgrids, distributed load sharing plays a crucial role in equilibrium of power supply and demand. It is well known that microgrids are often confronted with threats of false data injection (FDI) attacks, thus the investigation of the impact of FDI attacks on distributed load sharing is of both theoretical merit and practical value. In this chapter, we study the distributed load sharing problem of the microgrids operating in autonomous mode under FDI attacks. In our considered system, each bus is assumed to be equipped with an agent. Under a well-developed distributed load sharing protocol based on multiagent systems, we first introduce an FDI attack model, where the attacker can implant 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.