A High-Order Differentiator Based Distributed Secondary Control for DC Microgrids Against False Data Injection Attacks

被引:28
作者
Jiang, Yajie [1 ]
Yang, Yun [2 ]
Tan, Siew-Chong [1 ]
Hui, Shu Yuen Ron [1 ,3 ]
机构
[1] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Peoples R China
[2] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Peoples R China
[3] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
关键词
Microgrids; Voltage control; Peer-to-peer computing; Monitoring; Observers; Distributed databases; Biological system modeling; High-order differentiator (HoD); distributed secondary control; power electronics (PE)-based systems; false data injection (FDI); DC microgrid; ENERGY-RESOURCES; SLIDING MODES; CYBER-ATTACKS; MITIGATION; STRATEGY; SYSTEMS;
D O I
10.1109/TSG.2021.3135904
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Conventional distributed secondary control is vulnerable to the false data injection (FDI) attacks in regulating power electronics (PE)-based DC microgrids. To address this issue, a sliding mode observer (SMO) based distributed secondary control has been proposed to detect and compensate the FDI signals. However, the SMO suffers from inevitable chattering that deteriorates the steady-state performance. To this end, a high-order differentiator (HoD) based distributed secondary control is proposed in this paper. The proposed control can not only eliminate the chattering, but also improve the dynamics with shorter settling time. It is inherited from the conventional distributed control by only requiring neighboring communication to provide references for the primary-layer control in achieving bus voltage restorations, output current sharing, and output power sharing of PE-based systems. Both simulation and experimental results have verified that the proposed control can compensate different types of FDI attacks and showcase its superior dynamic performance than SMO without chattering.
引用
收藏
页码:4035 / 4045
页数:11
相关论文
共 38 条
[1]   Signal Temporal Logic-Based Attack Detection in DC Microgrids [J].
Beg, Omar Ali ;
Nguyen, Luan V. ;
Johnson, Taylor T. ;
Davoudi, Ali .
IEEE TRANSACTIONS ON SMART GRID, 2019, 10 (04) :3585-3595
[2]   Detection and Mitigation of False Data in Cooperative DC Microgrids With Unknown Constant Power Loads [J].
Cecilia, Andreu ;
Sahoo, Subham ;
Dragicevic, Tomislav ;
Costa-Castello, Ramon ;
Blaabjerg, Frede .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2021, 36 (08) :9565-9577
[3]   Resilient Active Power Sharing in Autonomous Microgrids Using Pinning-Consensus-Based Distributed Control [J].
Chen, Laijun ;
Wang, Yuyang ;
Lu, Xiaonan ;
Zheng, Tianwen ;
Wang, Jianhui ;
Mei, Shengwei .
IEEE TRANSACTIONS ON SMART GRID, 2019, 10 (06) :6802-6811
[4]   Disturbance-Observer-Based Control and Related Methods-An Overview [J].
Chen, Wen-Hua ;
Yang, Jun ;
Guo, Lei ;
Li, Shihua .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (02) :1083-1095
[5]   DC Microgrids-Part I: A Review of Control Strategies and Stabilization Techniques [J].
Dragicevic, Tomislav ;
Lu, Xiaonan ;
Vasquez, Juan C. ;
Guerrero, Josep M. .
IEEE TRANSACTIONS ON POWER ELECTRONICS, 2016, 31 (07) :4876-4891
[6]  
Fiore G, 2017, IEEE INT CON AUTO SC, P1610, DOI 10.1109/COASE.2017.8256334
[7]  
Gallo A. J., 2018, 2018 European Control Conference (ECC), P344, DOI 10.23919/ECC.2018.8550549
[8]   A Distributed Cyber-Attack Detection Scheme With Application to DC Microgrids [J].
Gallo, Alexander Julian ;
Turan, Mustafa Sahin ;
Boem, Francesca ;
Parisini, Thomas ;
Ferrari-Trecate, Giancarlo .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 65 (09) :3800-3815
[9]  
Gallo AlexanderJ., 2018, IFAC-PapersOnLine, V51, P182
[10]   Detection of False Data Injection Cyber-Attacks in DC Microgrids Based on Recurrent Neural Networks [J].
Habibi, Mohammad Reza ;
Baghaee, Hamid Reza ;
Dragicevic, Tomislav ;
Blaabjerg, Frede .
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS, 2021, 9 (05) :5294-5310