UM  > Faculty of Science and Technology
Residential Collegefalse
Status已發表Published
Secure Distributed Control for Demand Response in Power Systems Against Deception Cyber-Attacks With Arbitrary Patterns
Yang, Shaohua1; Lao, Keng Weng1; Hui, Hongxun1; Chen, Yulin2
2024-11
Source PublicationIEEE Transactions on Power Systems
ISSN0885-8950
Volume39Issue:6Pages:7277-7290
Abstract

Demand response (DR) is a crucial component of power systems that can offer operating reserves by utilizing flexible loads on the demand side. With the development of communication, information, and control technologies, DR has formed a cyber-physical system. While deep cyber-physical coupling improves the performance of DR, it also introduces cyber-security threats, i.e., deception cyber-attacks (DCAs), which can lead to DR out-of-control and thus threaten the power system's safe operation. To this end, this paper proposes a secure distributed control to safeguard DR against DCAs. First, a cyber-physical DR community is developed based on a distributed control framework for offering operating reserve to power systems. In addition, considering different patterns, the impacts of DCAs on DR are quantified, revealing that different attack patterns can lead to various adverse consequences on DR, such as power deviation, delayed response, power fluctuation, etc. Furthermore, an anti-attack secure distributed control is developed for DR to counteract against arbitrary DCAs. In addition, rigorous proof based on Lyapunov theorem demonstrates that the proposed control can ensure the stability and convergence for the DR power regulation required by power systems, despite arbitrary DCAs. Finally, case studies validate the efficacy of the proposed control method.

KeywordDemand Response Deception Cyber-attack Arbitrary Attack Pattern Secure Distributed Control Lyapunov Theorem
DOI10.1109/TPWRS.2024.3381231
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:001342803800047
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85189373717
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorLao, Keng Weng
Affiliation1.State Key Laboratory of Internet of Things for Smart City and Department of Electrical and Computer Engineering, University of Macau, Macao, China
2.Hainan Institute of Zhejiang University, Sanya, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yang, Shaohua,Lao, Keng Weng,Hui, Hongxun,et al. Secure Distributed Control for Demand Response in Power Systems Against Deception Cyber-Attacks With Arbitrary Patterns[J]. IEEE Transactions on Power Systems, 2024, 39(6), 7277-7290.
APA Yang, Shaohua., Lao, Keng Weng., Hui, Hongxun., & Chen, Yulin (2024). Secure Distributed Control for Demand Response in Power Systems Against Deception Cyber-Attacks With Arbitrary Patterns. IEEE Transactions on Power Systems, 39(6), 7277-7290.
MLA Yang, Shaohua,et al."Secure Distributed Control for Demand Response in Power Systems Against Deception Cyber-Attacks With Arbitrary Patterns".IEEE Transactions on Power Systems 39.6(2024):7277-7290.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yang, Shaohua]'s Articles
[Lao, Keng Weng]'s Articles
[Hui, Hongxun]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yang, Shaohua]'s Articles
[Lao, Keng Weng]'s Articles
[Hui, Hongxun]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yang, Shaohua]'s Articles
[Lao, Keng Weng]'s Articles
[Hui, Hongxun]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.