Distributed Load Sharing Under False Data Injection Attack in an Inverter-Based Microgrid

Zhang, Heng; Meng, Wenchao; Qi, Junjian; Wang, Xiaoyu; Zheng, Wei Xing

doi:10.1109/tie.2018.2793241

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Distributed Load Sharing Under False Data Injection Attack in an Inverter-Based Microgrid

Zhang, Heng·Meng, Wenchao·Qi, Junjian·Wang, Xiaoyu·Zheng, Wei Xing

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Abstract

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 both of theoretical merit and practical value. Here, 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. Finally, 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. In conclusion, theoretical results are validated on the Canadian urban distribution system.

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Zhang, Heng, Meng, Wenchao, Qi, Junjian, Wang, Xiaoyu, Zheng, Wei Xing. 2018-01-17. Distributed Load Sharing Under False Data Injection Attack in an Inverter-Based Microgrid. https://doi.org/10.1109/tie.2018.2793241

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