CyPhyR: a cyber-physical analysis tool for measuring and enabling resiliency in microgrids

被引:17
|
作者
Venkataramanan, Venkatesh [1 ]
Hahn, Adam [1 ]
Srivastava, Anurag [1 ]
机构
[1] Washington State Univ, Sch Elect Engn & Comp Sci, Pullman, WA 99164 USA
关键词
distributed power generation; graph theory; power engineering computing; cyber-physical systems; power generation planning; power system measurement; power generation reliability; CyPhyR; critical energy infrastructure system; cyber attacks; physical systems; resilient planning; graph theory based indices; cyber-power system characteristics; common vulnerability scoring system; Consortium for Electric Reliability Technology Solutions microgrid test system; cyber impact severity; cyber asset impact potential; cyber-physical resiliency analysis tool; microgrids;
D O I
10.1049/iet-cps.2018.5069
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study presents a tool to study the cyber-physical resiliency (CyPhyR) of critical energy infrastructure system, in particular the effect of cyber attacks on the microgrid's resiliency. The developed tool enables measuring resiliency using data from cyber and physical systems and suggests control decisions for resilient planning and operation of the microgrid. The microgrid resiliency is formulated based on graph theory based indices and cyber-power system characteristics. A Common Vulnerability Scoring System based metric called the Cyber Asset Impact Potential is developed and used in the planning phase, and another metric, Cyber Impact Severity is introduced to study the system performance in the operational phase. The information from these two phases is provided to the operator to make informed and proactive decisions to ensure the resilient operation of the microgrid. The performance of the developed tool has been tested using comprehensive real-time cyber-power testbed for a Consortium for Electric Reliability Technology Solutions microgrid test system.
引用
收藏
页码:313 / 321
页数:9
相关论文
共 50 条
  • [31] Enabling Connectivity of Cyber-Physical Production Systems: A Conceptual Framework
    Rojas, Rafael A.
    Rauch, Erwin
    Vidoni, Renato
    Matt, Dominik T.
    27TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING, FAIM2017, 2017, 11 : 822 - 829
  • [32] Enabling cyber-physical systems with machine-to-machine technologies
    Wan, Jiafu
    Yan, Hehua
    Liu, Qiang
    Zhou, Keliang
    Lu, Rongshuang
    Li, Di
    INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING, 2013, 13 (3-4) : 187 - 196
  • [33] Robustness Analysis of Cyber-Physical systems based on Discrete Timed Cyber-Physical Models
    Hsieh, Fu-Shiung
    2021 IEEE WORLD AI IOT CONGRESS (AIIOT), 2021, : 250 - 254
  • [34] Reliability analysis of cyber-physical microgrids: Study of grid-connected microgrids with communication-based control systems
    Barani, Mostafa
    Vadlamudi, Vijay V.
    Heegaard, Poul E.
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2021, 15 (04) : 645 - 663
  • [35] Distributed Resilient Control for Energy Storage Systems in Cyber-Physical Microgrids
    Deng, Chao
    Wang, Yu
    Wen, Changyun
    Xu, Yan
    Lin, Pengfeng
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 17 (02) : 1331 - 1341
  • [36] Dynamic Microgrids in Resilient Distribution Systems With Reconfigurable Cyber-Physical Networks
    Du, Yuhua
    Lu, Xiaonan
    Wang, Jianhui
    Chen, Bo
    Tu, Hao
    Lukic, Srdjan
    IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS, 2021, 9 (05) : 5192 - 5205
  • [37] Measuring Available Bandwidth for Smart Cyber-Physical Applications
    Hui Zhou College of Information Science and TechnologyHainan UniversityHaikou China
    Tsinghua Science and Technology, 2011, 16 (06) : 601 - 610
  • [38] Semantic Subgraph Isomorphism for Enabling Physical Adaptability of Cyber-Physical Production Systems
    Engel, Grischan
    Greiner, Thomas
    Seifert, Sascha
    2016 IEEE 21ST INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2016,
  • [39] Measuring Available Bandwidth for Smart Cyber-Physical Applications
    Hui Zhou College of Information Science and Technology
    Tsinghua Science and Technology, 2011, (06) : 601 - 610
  • [40] Benchmarking Vulnerability Assessment Tools for Enhanced Cyber-Physical System (CPS) Resiliency
    McMahon, Emma
    Patton, Mark
    Samtani, Sagar
    Chen, Hsinchun
    2018 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENCE AND SECURITY INFORMATICS (ISI), 2018, : 100 - 105