Residential College | false |
Status | 已發表Published |
Resilient Distributed Control Against False Data Injection Attacks for Demand Response | |
Shaohua Yang1; Keng-Weng Lao1; Yulin Chen2; Hongxun Hui1 | |
2024-03 | |
Source Publication | IEEE Transactions on Power Systems |
ISSN | 0885-8950 |
Volume | 39Issue: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. |
Keyword | Demand Response Distributed Control False Data Injection Attack Hvac Loads Resilient Control |
DOI | 10.1109/TPWRS.2023.3287205 |
Indexed By | SCIE |
Language | 英語English |
Funding Project | Securing Technologies for Cyber Physical System Protection in Energy Internet of Things for Smart City Application |
WOS Research Area | Engineering |
WOS Subject | Engineering, Electrical & Electronic |
WOS ID | WOS:001177135800032 |
Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 |
Scopus ID | 2-s2.0-85162903867 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty 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 Author | Keng-Weng Lao; Yulin Chen |
Affiliation | 1.Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau 2.Hainan Institute of Zhejiang University, Sanya, China |
First Author Affilication | Faculty of Science and Technology |
Corresponding Author Affilication | Faculty 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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