Vulnerability Assessment for Cyber-Physical System of Distribution Network in Distributed Cooperative Control Mode

被引：0
|
作者：
Li P. [1 ]
Liu Y. [2 ]
Xin H. [1 ]
Qi D. [1 ]
机构：
[1] College of Electrical Engineering, Zhejiang University, Hangzhou
[2] College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2018年 / 42卷 / 10期
基金：
中国国家自然科学基金;
关键词：
Cyber attacks; Cyber-physical system in distribution network; Distributed cooperative control; Dynamic game; Vulnerability assessment;
D O I：
10.7500/AEPS20170705002
中图分类号：
学科分类号：
摘要：
Distributed cooperative control mode is an effective approach to overcome the problem of integrating multiple and strongly random distributed generators (DGs) into cyber-physical system in distribution network. However, due to the integration between cyber and physical layers, cyber attacks could threat the safe and stable operation of power system through invading the cyber system. Toward this end, a dynamic attack-defense game model based vulnerability assessment of cyber-physical system (CPS) in distribution network is proposed. Firstly, a cooperative control strategy of DGs is described, and its convergence property is analyzed and summarized. Then, a risk assessment of CPS in distribution network is developed, which integrates the risk assessment method, the cooperative control strategy of DGs and strategies of attacker and defender. After that, the dynamic attack-defense game function and its solving steps are designed, which achieves the vulnerability assessment of CPS in distribution network with distributed cooperative control mode. Finally, the effectiveness of the proposed method is verified through simulations involving the IEEE 34-bus distribution network. © 2018 Automation of Electric Power Systems Press.
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页码：22 / 29and59
页数：2937
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共 30 条
  • [1] Kang C., Chen Q., Xia Q., Prospects of low-carbon electricity, Power System Technology, 33, 2, pp. 1-7, (2009)
  • [2] Wang C., Li P., Development and challenges of distributed generation, the micro-grid and smart distribution system, Automation of Electric Power Systems, 34, 2, pp. 10-14, (2010)
  • [3] Wang C., Wang S., Study on some key problems related to distributed generation systems, Automation of Electric Power Systems, 32, 20, pp. 1-4, (2008)
  • [4] Xin H., Qu Z., Seuss J., Et al., A self-organizing strategy for power flow control of photovoltaic generators in a distribution network, IEEE Transactions on Power Systems, 26, 3, pp. 1462-1473, (2011)
  • [5] Xin H., Lu Z., Liu Y., Et al., A center-free control strategy for the coordination of multiple photovoltaic generators, IEEE Transactions on Smart Grid, 5, 3, pp. 1262-1269, (2014)
  • [6] Zhao Y., Chen B., Fan Y., Et al., Convergence speed analysis and optimization for distributed control of virtual power plant, Power System Technology, 40, 8, pp. 2288-2295, (2016)
  • [7] Yang Z., Xiang J., Li Y., Distributed consensus based supply-demand balance algorithm for economic dispatch problem in a smart grid with switching graph, IEEE Transactions on Industrial Electronics, 64, 2, pp. 1600-1610, (2017)
  • [8] Yang S., Tan S., Xu J.X., Consensus based approach for economic dispatch problem in a smart grid, IEEE Transactions on Power Systems, 28, 4, pp. 4416-4426, (2013)
  • [9] Zhao J., Wen F., Xue Y., Et al., Modeling analysis and control research framework of cyber physical power systems, Automation of Electric Power Systems, 35, 16, pp. 1-8, (2011)
  • [10] Guo J., He Y., Han Y., Et al., Importance assessment of cyber devices considering effective distance based closeness centrality, Automation of Electric Power Systems, 40, 23, pp. 42-48, (2016)
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