A Data-Driven Detection strategy of False Data in Cooperative DC Microgrids

被引：1
|
作者：
Yang, Yixian [1 ]
Guo, Li [1 ]
Li, Xialin [1 ]
Li, Jiaxin [1 ]
Liu, Wei [2 ]
He, Huihui [2 ]
机构：
[1] Tianjin Univ, Minist Educ, Key Lab Smart Grid, Tianjin, Peoples R China
[2] Natl Univ Def Technol, Coll Syst Engn, Hunan Key Lab Multienergy Syst Intelligent Interc, Changsha, Peoples R China
来源：
IECON 2021 - 47TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2021年
基金：
国家重点研发计划;
关键词：
DC microgrids; distributed control; cyber physical system; false data injection attack; data-driven; CYBER-ATTACK DETECTION; NETWORKS;
D O I：
10.1109/IECON48115.2021.9589318
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Distributed cooperative control strategies of DC microgrids (DCMG) reduce the detriment of communication delays, packet loss and link failure compared with centralized control. However, they are vulnerary to cyber-attacks. The operating objectives can be deviated by false data. Firstly, the adverse effects of false data are explained and modeled. A data-driven strategy based on linear regression is then proposed to remove the false data by offline learning and online judging of the transient process in DCMG without affecting the dynamic response. It successfully solves the problem of parameter selection of resilient control. Finally, the detection strategy is verified by detailed time-domain simulation.
引用
收藏
页数：6
相关论文
共 50 条
  • [1] On Detection of False Data in Cooperative DC Microgrids-A Discordant Element Approach
    Sahoo, Subham
    Peng, Jimmy Chih-Hsien
    Devakumar, Annavaram
    Mishra, Sukumar
    Dragicevic, Tomislav
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (08) : 6562 - 6571
  • [2] A Data-Driven Framework for FDI Attack Detection and Mitigation in DC Microgrids
    Basati, Amir
    Guerrero, Josep M.
    Vasquez, Juan C.
    Bazmohammadi, Najmeh
    Golestan, Saeed
    ENERGIES, 2022, 15 (22)
  • [3] Data-Driven Detection of Stealth Cyber-Attacks in DC Microgrids
    Takiddin, Abdulrahman
    Rath, Suman
    Ismail, Muhammad
    Sahoo, Subham
    IEEE SYSTEMS JOURNAL, 2022, 16 (04): : 6097 - 6106
  • [4] Detection and Mitigation of False Data in Cooperative DC Microgrids With Unknown Constant Power Loads
    Cecilia, Andreu
    Sahoo, Subham
    Dragicevic, Tomislav
    Costa-Castello, Ramon
    Blaabjerg, Frede
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2021, 36 (08) : 9565 - 9577
  • [5] Fast defense strategy of false data injection attack in DC microgrid based on data-driven
    Yang Y.
    Guo L.
    Wang H.
    Li X.
    Zhang T.
    Huang S.
    Zhu X.
    Wang C.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2021, 41 (05): : 145 - 151
  • [6] Mitigating Concurrent False Data Injection Attacks in Cooperative DC Microgrids
    Zhang, Jingqiu
    Sahoo, Subham
    Peng, Jimmy Chih-Hsien
    Blaabjerg, Frede
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2021, 36 (08) : 9637 - 9647
  • [7] Data-Driven Cyber-Attack Detection of Intelligent Attacks in Islanded DC Microgrids
    Wan, Yihao
    Dragicevic, Tomislav
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 70 (04) : 4293 - 4299
  • [8] Data-driven fault detection and isolation in DC microgrids without prior fault data: A transfer learning approach
    Wang, Ting
    Zhang, Chunyan
    Hao, Zhiguo
    Monti, Antonello
    Ponci, Ferdinanda
    APPLIED ENERGY, 2023, 336
  • [9] Data-Driven Control of Converters in DC Microgrids for Bus Voltage Regulation
    Cupelli, Lisette
    Cupelli, Marco
    Monti, Antonello
    IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2018, : 3389 - 3394
  • [10] Submodularity-Based False Data Injection Attack Strategy in DC Microgrids
    Liu, Qi
    Zhao, Chengcheng
    Liu, Mengxiang
    Deng, Ruilong
    Cheng, Peng
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2025, 20 : 2342 - 2356
12345