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Resilient Distributed Control Against False Data Injection Attacks for Demand Response
Shaohua Yang1; Keng-Weng Lao1; Yulin Chen2; Hongxun Hui1
2024-03
Source PublicationIEEE Transactions on Power Systems
ISSN0885-8950
Volume39Issue:2Pages:2837-2853
Abstract

To maintain the power system balance, flexible load resources have been widely employed to provide operating reserves, which is named demand response (DR). The heating, ventilation, and air conditioning (HVAC) loads cover a high percentage of the total power consumption and have a significant regulation potential that deserves further investigation. To dispatch such dispersed HVACs, distributed control techniques are developed in the DR field due to their flexibility and scalability. However, the distributed DR system is vulnerable to potential cyber-attacks, i.e., false data injection (FDI) attacks, which may lead to DR failure. This paper proposes a resilient distributed controller to protect HVACs against FDI attacks. Firstly, an HVAC-based DR system is built by using distributed control to provide operating reserves for the power grid. Then, the adverse effect of FDI attacks is quantified with mathematical derivation. It is found that a small FDI attack can lead to severe power output deviations, which is a lethal problem for DR. On this basis, an FDI attack-resilient distributed controller is designed for HVACs so as to meet the grid's operating reserve requirements even under attacks. Moreover, the convergence of the proposed controller is proved based on the Laplace transform and final value theorem. Finally, case studies validate the effectiveness of the proposed resilient controller.

KeywordDemand Response Distributed Control False Data Injection Attack Hvac Loads Resilient Control
DOI10.1109/TPWRS.2023.3287205
Indexed BySCIE
Language英語English
Funding ProjectSecuring Technologies for Cyber Physical System Protection in Energy Internet of Things for Smart City Application
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:001177135800032
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85162903867
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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 AuthorKeng-Weng Lao; Yulin Chen
Affiliation1.Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau
2.Hainan Institute of Zhejiang University, Sanya, China
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Shaohua Yang,Keng-Weng Lao,Yulin Chen,et al. Resilient Distributed Control Against False Data Injection Attacks for Demand Response[J]. IEEE Transactions on Power Systems, 2024, 39(2), 2837-2853.
APA Shaohua Yang., Keng-Weng Lao., Yulin Chen., & Hongxun Hui (2024). Resilient Distributed Control Against False Data Injection Attacks for Demand Response. IEEE Transactions on Power Systems, 39(2), 2837-2853.
MLA Shaohua Yang,et al."Resilient Distributed Control Against False Data Injection Attacks for Demand Response".IEEE Transactions on Power Systems 39.2(2024):2837-2853.
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