Vulnerability Assessment Against Cyber Attacks for Microgrid Cyber Physical System with Wind Power Integration

被引:0
|
作者
Yan, Minrui [1 ]
Yu, Miao [1 ]
Wan, Keting [1 ]
Qi, Donglian [1 ]
机构
[1] College of Electrical Engineering, Zhejiang University, Hangzhou,310027, China
基金
中国国家自然科学基金;
关键词
Clean energy - Microgrids - Phishing;
D O I
10.7500/AEPS20230815010
中图分类号
学科分类号
摘要
With the evolution of the informatization and intelligence level of microgrids, malicious cyber attacks are becoming more serious threats to the safe and stable operation of microgrids. Compared with the distribution network, the microgrid has smaller scale, higher renewable energy penetration, and weaker adjustment capacity, and is more vulnerable to cyber attacks. In order to analyze the vulnerability of microgrid cyber physical system against cyber attacks, first, a physical-side model of microgrid considering control strategy and renewable energy output uncertainty, and a data flow based cyber-side model considering cyber attacks are formulated. Secondly, in order to analyze cyber attacks, the correlation matrix of attack method and attack target and a bi-level programming model considering the behavior of the attacker and the dispatching center are established. Then, based on the characteristics of load redistribution and Shapley value method, a vulnerability index calculation method based on attack consequences and vulnerability assessment process are proposed. Finally, the simulation is carried out on a 38-bus system to assess the vulnerability of the microgrid cyber physical system against cyber attacks, and the effectiveness of the proposed method and its guiding significance for formulating defense strategy are analyzed and verified. © 2024 Automation of Electric Power Systems Press. All rights reserved.
引用
收藏
页码:88 / 100
相关论文
共 50 条
  • [41] A tri-level optimization strategy incorporating wind power against coordinated cyber-physical attacks
    Li, Shihao
    Shi, Libao
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2023, 17 (10) : 2228 - 2248
  • [42] A Cooperative Control Strategy against Cyber-attacks for Power System with High Penetration Wind Farm
    Yang, Kai
    Li, Jian
    Zhang, Guangdou
    Xing, Yankai
    Bamisile, Olusola
    Huang, Qi
    2022 4TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2022), 2022, : 321 - 327
  • [43] Cyber-physical collaborative control for DC microgrid clusters under joint cyber-attacks *
    Jin, Bao
    Dou, Chunxia
    Zhang, Bo
    ELECTRIC POWER SYSTEMS RESEARCH, 2024, 234
  • [44] Robust protection scheme against cyber-physical attacks in power systems
    Di Giorgio, Alessandro
    Pietrabissa, Antonio
    Delli Priscoli, Francesco
    Isidori, Alberto
    IET CONTROL THEORY AND APPLICATIONS, 2018, 12 (13): : 1792 - 1801
  • [45] Cyber security vulnerability assessment of power industry
    Yu, Jiaxi
    Mao, Anjia
    Guo, Zhizhong
    TENCON 2006 - 2006 IEEE REGION 10 CONFERENCE, VOLS 1-4, 2006, : 1379 - +
  • [46] Vulnerability assessment of cyber security in power industry
    Yu Jiaxi
    Mao Anjia
    Guo Zhizhong
    2006 IEEE/PES POWER SYSTEMS CONFERENCE AND EXPOSITION. VOLS 1-5, 2006, : 2200 - +
  • [47] Modeling and vulnerability assessment of cyber physical system considering coupling characteristics
    Zhang, Yiwei
    Jiang, Tianlun
    Shi, Qingxin
    Liu, Wenxia
    Huang, Shaofeng
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 142
  • [48] A Privacy-preserving Algorithm for AC Microgrid Cyber-physical System Against False Data Injection Attacks
    Yang, Jun
    Zhang, Yu
    JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2023, 11 (05) : 1646 - 1658
  • [49] A Privacy-preserving Algorithm for AC Microgrid Cyber-physical System Against False Data Injection Attacks
    Jun Yang
    Yu Zhang
    JournalofModernPowerSystemsandCleanEnergy, 2023, 11 (05) : 1646 - 1658
  • [50] Detecting Cyber-Attacks Against Cyber-Physical Manufacturing System: A Machining Process Invariant Approach
    Li, Zedong
    Chen, Xin
    Chen, Yuqi
    Li, Shijie
    Wang, Hangyu
    Lv, Shichao
    Sun, Limin
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (10): : 17602 - 17614