Distributed Load Sharing Under False Data Injection Attack in an Inverter-Based Microgrid
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.
- Authors:
-
[1];
[2];
[3];
[4]
- Huaihai Inst. of Technology, Lianyungang (China); Univ. of Western Sydney, NSW (Australia)
- Carleton Univ., Ottawa, ON (Canada)
- Univ. of Central Florida, Orlando, FL (United States)
- Univ. of Western Sydney, NSW (Australia)
- Publication Date:
- Research Org.:
- Univ. of Central Florida, Orlando, FL (United States)
- Sponsoring Org.:
- USDOE Office of Electricity (OE)
- OSTI Identifier:
- 1592008
- Grant/Contract Number:
- EE0007327
- Resource Type:
- Accepted Manuscript
- Journal Name:
- IEEE Translations on Industrial Electronics
- Additional Journal Information:
- Journal Volume: 66; Journal Issue: 2; Journal ID: ISSN 0278-0046
- Publisher:
- IEEE
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 24 POWER TRANSMISSION AND DISTRIBUTION; Cyberattacks; distributed load sharing; false data injection (FDI); microgrids
Citation Formats
Zhang, Heng, Meng, Wenchao, Qi, Junjian, Wang, Xiaoyu, and Zheng, Wei Xing. Distributed Load Sharing Under False Data Injection Attack in an Inverter-Based Microgrid. United States: N. p., 2018.
Web. doi:10.1109/TIE.2018.2793241.
Zhang, Heng, Meng, Wenchao, Qi, Junjian, Wang, Xiaoyu, & Zheng, Wei Xing. Distributed Load Sharing Under False Data Injection Attack in an Inverter-Based Microgrid. United States. https://doi.org/10.1109/TIE.2018.2793241
Zhang, Heng, Meng, Wenchao, Qi, Junjian, Wang, Xiaoyu, and Zheng, Wei Xing. Wed .
"Distributed Load Sharing Under False Data Injection Attack in an Inverter-Based Microgrid". United States. https://doi.org/10.1109/TIE.2018.2793241. https://www.osti.gov/servlets/purl/1592008.
@article{osti_1592008,
title = {Distributed Load Sharing Under False Data Injection Attack in an Inverter-Based Microgrid},
author = {Zhang, Heng and Meng, Wenchao and Qi, Junjian and Wang, Xiaoyu and Zheng, Wei Xing},
abstractNote = {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.},
doi = {10.1109/TIE.2018.2793241},
journal = {IEEE Translations on Industrial Electronics},
number = 2,
volume = 66,
place = {United States},
year = {Wed Jan 17 00:00:00 EST 2018},
month = {Wed Jan 17 00:00:00 EST 2018}
}
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