Vulnerability assessment of cyber-physical power system considering virtual cyber-physical connections

被引：0
|
作者：
Chen K. [1 ]
Wen F. [1 ]
Zhao J. [2 ]
Li L. [3 ]
Yang Y. [3 ]
Tan Y. [3 ]
机构：
[1] College of Electrical Engineering, Zhejiang University, Hangzhou
[2] School of Science and Engineering, Chinese University of Hong Kong(Shenzhen), Shenzhen
[3] Power Dispatch and Control Center of Guangdong Power Grid, Guangzhou
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2017年 / 37卷 / 12期
基金：
国家高技术研究发展计划(863计划);
关键词：
Bi-level mathematic programming; Cyber-physical link; Cyber-physical power system; Optimal load shedding; Vulnerability assessment;
D O I：
10.16081/j.issn.1006-6047.2017.12.009
中图分类号：
学科分类号：
摘要：
The wide applications of the ever-developing automation and communication technologies have significantly enhanced the operation level of modern power system, while the interactions between the power information system and the power physical system are becoming more extensively and more in-depth, and hence the cyber-physical power system is formed. In the cyber-physical power system, the failure of information equipment has impacts on the security and reliability of power physical system, while attacks from outsiders against either physical or information equipment may result in power supply interruptions. On this background, the cyber-physical power system is simulated as five elements: physical node, physical-physical link, cyber-node, cyber-cyber link and cyber-physical link, to analyze the interactive influence between physical equipment and information equipment, based on which, the influence of information system failure on the operation of physical system is assessed. A bi-level mathematic programming model under the game theory framework is established for distributing defending resources on information and power modules, to quantify the importance degrees of modules under given attacks. The modified IEEE 14-bus power system is simulated and calculated, whose results verify the feasibility and effectiveness of the proposed method. © 2017, Electric Power Automation Equipment Press. All right reserved.
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页码：67 / 72and79
页数：7212
相关论文
共 26 条
  • [1] Liu R., Vellaithurai C., Biswas S.S., Et al., Analyzing the cyber-physical impact of cyber-events on the power grid, IEEE Transactions on Smart Grid, 6, 5, pp. 2444-2453, (2015)
  • [2] Zhao J., Wen F., Xue Y., Et al., Modeling analysis and control research framework of cyber physical power system, Automation of Electric Power Systems, 35, 16, pp. 1-8, (2011)
  • [3] Zhao J., Wen F., Xue Y., Et al., Cyber physical power systems: architecture, implementation techniques and challenges, Automation of Electric Power Systems, 34, 16, pp. 1-7, (2010)
  • [4] Guo Q., Xin S., Sun H., Et al., Power system cyber-physical modelling and security assessment: motivation and ideas, Proceedings of the CSEE, 36, 6, pp. 1481-1489, (2016)
  • [5] Liu H., Qiu Y., Mu L., Conjunct model of physical side on microgrid CPS, Electric Power Automation Equipment, 34, 10, pp. 27-32, (2014)
  • [6] Chen J., Huang Y., Lu B., Physical energy modeling and control strategy of regional energy internet, Electric Power Automation Equipment, 36, 12, (2016)
  • [7] Amin S.M., Bruce F.W., Toward a smart grid: power delivery for the 21st century, IEEE Power and Energy Magazine, 5, 3, pp. 34-41, (2005)
  • [8] Andersson G., Donalek P., Farmer R., Et al., Cause of the 2003 major grid blackouts in North America and Europe, and recommended means to improve system dynamic performance, IEEE Transactions on Power Systems, 20, 4, pp. 1922-1928, (2005)
  • [9] Hao Y., Wu Z., Dou X., Et al., Application of IEC61850-based multi-agent system in microgrid operation, Electric Power Automation Equipment, 33, 6, pp. 139-146, (2013)
  • [10] Cherath L., Benson K.F., Chaka K., Assessment of interactions between power and telecommunications infrastructures, IEEE Transactions on Power Systems, 21, 3, pp. 1123-1130, (2006)
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