Cited by 54Frequency Control in Power SystemsSmart Grid Security and ResiliencePower System Optimization and Stability

The DOI matches its Crossref record.

Secure Frequency Control of Hybrid Power System Under DoS Attacks via Lie Algebra

Cheng, Zihao, Yue, Dong, Shen, Shigen, Hu, Songlin, Chen, Lei·2022·IEEE Transactions on Information Forensics and Security

Abstract

Secure frequency control of multi-area hybrid power systems with wind power is a research problem involving active defense, vulnerability, and resilience. Considering the scenario that Denial-of-Service (DoS) attack intrude into the control channels of thermal power and wind farm, the hybrid power system is modeled by a switched system with four subsystems. Then, the exponential stability of hybrid power system is studied under arbitrary DoS attack. An active defense scheme is proposed to design switched control gains by Lie algebra method achieved by a distributed consensus method. Furthermore, following the resulted exponential stability, the load disturbance attenuant performance of frequency control is studied by the proposed concepts of vulnerability point and resilience point. Under a class of event-DoS attack model, the estimation method of vulnerability point and resilience point is given. Finally, simulations of a three-area hybrid power system and NE39bus test system are carried out to verify our theories.

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Crossref · 10.1109/tifs.2022.3158550

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  • Wireless and wired networks are crucial for DDoS attacks against the transport layer.

    “Wireless and wired networks are crucial for DDoS attacks against the transport layer [17].”
  • When multiple parties cooperate in computing, each party knows only its own private data, a party's private data is not disclosed to other participants, and there is no central trust party that can access any participant's data; after computing, each party obtains only the correct final results.

    “When multiple parties need to cooperate in computing, each party knows only its own private data, a party's private data is not disclosed to other participants, and there is no central trust party that can access any participant's data. After computing is completed, each party can obtain the correct final results only, not others' private data [17].”

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Metadata

Authors
Cheng, Z., Yue, D., Shen, S., Hu, S., & Chen, L.
Affiliations
  • Henan University of Chinese Medicine (CN)
  • Nanjing University of Posts and Telecommunications (CN)
  • Shaoxing University (CN)
  • Yangzhou University (CN)
Venue
IEEE Transactions on Information Forensics and Security
Published
2022
Volume
17
Pages
1172-1184
ISSN
  • 1556-6013 (ISSN-L)
  • 1556-6021
OpenAlex
W4226434229
Cited by
54
References
0
Citations by year
2026: 8 · 2025: 13 · 2024: 15 · 2023: 13 · 2022: 5
FWCI
3.15
Type
journal article
Language
en
Open access
closed
Locations
IEEE Transactions on Information Forensics and Security (publishedVersion)
Funders
  • Key Scientific Research Projects in Colleges and Universities of Henan Province (22A413007)
  • National Natural Science Foundation of China (61833008, 61633016, 62173187, 61772018)
  • Zhejiang Provincial Natural Science Foundation of China (LZ22F020002)
  • Six Talent Peaks Project of Jiangsu Province of China (RLD201810)
  • Qinglan Project of Jiangsu Province of China (QL 04317006)
  • Natural Science Foundation of Jiangsu Province of China (BE2020001-4, BK20201377)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Frequency Control in Power Systems
  • Physical Sciences › Engineering › Control and Systems Engineering › Smart Grid Security and Resilience
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Power System Optimization and Stability
Keywords
frequency regulation, hybrid energy systems, denial-of-service attacks, switched systems, Lie algebras, switching control, distributed consensus, wind energy, interconnected power systems, cyber-physical security

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