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Distributed Hybrid-Triggering-Based Secure Dispatch Approach for Smart Grid Against DoS Attacks

delete2023-06-01
delete16
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OA
AI
Y
Yushuai Li
R
Rufei Ren
B
Bonan Huang *
王锐 封面图
王锐 (Rui Wang)
Q
Qiuye Sun
W
Wenzhong Gao
张化光 封面图
张化光 (Huaguang Zhang)
DOI:10.1109/TSMC.2022.3228780delete
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摘要

摘要

En 中文
This economic dispatch problem has been tended to be solved by using distributed optimization algorithms which are easier to suffer from diversified cyberattacks, e.g., the denial-of-service (DoS) attacks. It leads to enormous secure risks for the economic operation of smart grid. To address this issue, this article aims to propose a distributed secure dispatch method to effectively defend the DoS attacks. First, considering the coexistence of the attack sequence and triggering sequence, the actual affected period and actual safe period are analyzed and defined. It provides an analysis model for the subsequent algorithm design. Then, by designing switched system dynamics along with hybrid-triggering concept, a novel distributed secure dispatch strategy is presented. The proposed method can enable each distributed generator (DG) to reasonably use estimation values and switched rate of system evolution to mitigate the effect of the DoS attacks. Meanwhile, contributed by the designed hybrid-triggering communication strategy, the proposed method takes advantages of reduced communication costs, flexible execution, and fast and reliable communication recuperation among DGs. With those efforts, the proposed method is capable of high robustness to resist the DoS attacks well. Moreover, theoretically analytic results are proposed to verify the correctness of the proposed method. Finally, simulation results are provided to show the feasibility and effectiveness of the proposed method.
Keyword:
Denial-of-service (DoS) attacks
distributed algorithm
economic dispatch
smart grid

期刊

IEEE Transactions on Cybernetics 封面图
IEEE Transactions on Cybernetics
IF:
10.5
论文数:
1.1W
被引数:
5.0W

机构

U
University of Denver
学者数:
2.5K
论文数: 2.5K
被引数: 4.4K
U
university of oslo
学者数:
4.2W
论文数: 3.5W
被引数: 53
N
northeastern university - china
学者数:
3.2W
论文数: 2.7W
被引数: 37
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