Event-Based Attack Detection and Mitigation for DC Microgrids via Adaptive LQR Approach

Data manipulation attacks have become one of the main threats to cyber-physical direct current (DC) microgrids, but how to ensure voltage and current restoration under cyber attacks has not been well explored. In this paper, the event-based attack detection and mitigation problem for DC microgrids i...

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Bibliographic Details
Published in:IEEE transactions on smart grid 2024-07, Vol.15 (4), p.4196-4206
Main Authors: Luo, Xiaoyuan, Gao, Ruiyang, Li, Xiaolei, Fu, Yuliang, Xu, Qianwen, Guan, Xinping
Format: Article
Language:English
Subjects:
Adaptive control
attack defense
Communication networks
Cyber-physical systems
Cyberattack
Cybersecurity
DC microgrid
DC power transmission
Decentralized control
Direct current
distributed control
Distributed generation
Electric potential
Electronic mail
Event detection
event-based detection
Linear quadratic regulator
Microgrids
Restoration
Stability analysis
Voltage
Voltage control
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Summary:Data manipulation attacks have become one of the main threats to cyber-physical direct current (DC) microgrids, but how to ensure voltage and current restoration under cyber attacks has not been well explored. In this paper, the event-based attack detection and mitigation problem for DC microgrids is considered. Specifically, an attack detection mechanism is designed to detect whether an attack has occurred. Then the proposed resilient secondary control strategy is only activated when the detection mechanism generates an attack event. For unknown types of attacks that aim at tampering with the information transmitted in the communication network, an adaptive linear quadratic regulator (LQR) based control strategy is designed to mitigate the effects such that the voltage and current restoration is achieved. Finally, the effectiveness of the proposed strategy is verified through simulationthis.
ISSN:1949-3053
1949-3061
1949-3061
DOI:10.1109/TSG.2024.3365498