Adequacy evaluation of electric power grids considering substation cyber vulnerabilities

被引:22
|
作者
Xiang, Yingmeng [1 ]
Wang, Lingfeng [1 ,2 ]
Zhang, Yichi [3 ]
机构
[1] Univ Wisconsin, Dept Elect Engn & Comp Sci, Milwaukee, WI 53211 USA
[2] Univ Toledo, Dept Elect Engn & Comp Sci, Toledo, OH 43607 USA
[3] ATSEC Informat Secur Corp, 9130 Jollyville Rd 260, Austin, TX 78759 USA
基金
美国国家科学基金会;
关键词
Cyber-physical systems; Power system adequacy evaluation; Human dynamics; Cybersecurity; Game theory; LARGE-SCALE; SECURITY; FRAMEWORK; ATTACKS; IMPACT;
D O I
10.1016/j.ijepes.2017.10.004
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
Modern cyber-physical smart power grids are becoming increasingly dependent on the associated cyber networks for performing various monitoring and control functions, which inevitably leads to increased cyber vulnerabilities. It is thus a pressing task to develop effective methods for comprehensively evaluating the overall adequacy of power systems considering the probable cyber vulnerabilities. This paper is focused on quantifying the impact of substation cyber vulnerabilities on power supply adequacy. The temporal occurrence pattern of cyber attacks is statistically analyzed based on the human dynamics theory. Also, the attack/defense interactions of intelligent attackers and defenders are modeled by static and Markov games in different attack scenarios. A novel power system adequacy evaluation framework is proposed by incorporating both physical failures and cybersecurity risks. Simulation studies are performed on a typical IEEE reliability test system, and the influences of critical factors related to cybersecurity are carefully investigated. These quantitative studies show that implementing effective cyber security measures and making informed decisions about the allocation of limited resources are beneficial to enhancing the overall adequacy of contemporary cyber-physical power systems.
引用
收藏
页码:368 / 379
页数:12
相关论文
共 50 条
  • [31] Reliability Evaluation for Cyber-Physical Smart Substation
    Chen, Yangrong
    Li, Jun'e
    Xu, Ang
    Yuan, Kai
    Liu, Kaipei
    COMPLEXITY, 2021, 2021
  • [32] Evaluation of human exposure to power frequency electric fields induced by UHV substation
    Wang, Qingyu
    Yang, Xi
    Liao, Jintao
    Wang, Haoran
    Wu, Hao
    Peng, Zongren
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2014, 34 (24): : 4187 - 4194
  • [33] Cyber Defense Budget Assessment in Smart Grid Based on Reliability Evaluation Considering Practical Data of HV Substation
    Fardad, Noorollah
    Soleymani, Soodabeh
    Faghihi, Faramarz
    INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS, 2018, 12 (01): : 1 - 20
  • [34] Costs of adequacy and reliability of electric power
    Rietz, Roy
    Sen, P. K.
    2006 38TH ANNUAL NORTH AMERICAN POWER SYMPOSIUM, NAPS-2006 PROCEEDINGS, 2006, : 525 - +
  • [35] Power System Reliability Evaluation Considering Substation Interior under Protection Failure Impact
    Chen, Chen
    Liu, Junyong
    Taylor, Gareth Anthony
    Mohammadi, Mohsen
    Deng, Chuang
    2014 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2014,
  • [36] The key player problem in complex oscillator networks and electric power grids: Resistance centralities identify local vulnerabilities
    Tyloo, M.
    Pagnier, L.
    Jacquod, P.
    SCIENCE ADVANCES, 2019, 5 (11)
  • [37] Coevolution and Evaluation of Electric Vehicles and Power Grids Based on Complex Networks
    Zhang, Di
    Kang, Yaxiong
    Ji, Li
    Shi, Ruifeng
    Jia, Limin
    SUSTAINABILITY, 2022, 14 (12)
  • [38] Security Risk Assessment Approach for Distribution Network Cyber Physical Systems Considering Cyber Attack Vulnerabilities
    Zhou, Buxiang
    Sun, Binjie
    Zang, Tianlei
    Cai, Yating
    Wu, Jiale
    Luo, Huan
    ENTROPY, 2023, 25 (01)
  • [39] Substation Reliability Evaluation Considering the Failure Events
    Kim, Sung Hun
    Lee, Dong Ju
    2018 4TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND RENEWABLE ENERGY (ICERE 2018), 2018, 159
  • [40] Probabilistic model for adequacy evaluation of electric networks with sizeable wind power generation
    Bresesti, P
    Calisti, R
    Provenzano, D
    Vaiani, A
    Zecca, B
    2004 IEEE PES POWER SYSTEMS CONFERENCE & EXPOSITION, VOLS 1 - 3, 2004, : 1324 - 1328