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Local Evolution Model of the Communication Network for Reducing Outage Risk of Power Cyber-Physical System

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Listed:
  • Yuchen Fang

    (School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410205, China)

  • Xiafei Tang

    (School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410205, China)

  • Li Tang

    (School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410205, China)

  • Yang Chen

    (School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410205, China)

  • Weiyu Wang

    (School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410205, China)

Abstract

The deep integration of power grids and communication networks is the basis for realizing the complete observability and controllability of power grids. The communication node or link is always built according to the physical nodes. This step is alternatively known as “designing with the same power tower”. However, the communication networks do not form a “one-to-one correspondence” relationship with the power physical network. The existing theory cannot be applied to guide the practical power grid planning. In this paper, a local evolution model of a communication network based on the physical power grid topology is proposed in terms of reconnection probabilities. Firstly, the construction and upgrading of information nodes and links are modeled by the reconnection probabilities. Then, the power flow entropy is employed to identify whether the power cyber-physical system (CPS) is at the self-organized state, indicating the high probability of cascading failures. In addition, on the basis of the cascading failure propagation model of the partially dependent power CPS, operation reliabilities of the power CPS are compared with different reconnection probabilities using the cumulative probability of load loss as the reliable index. In the end, a practical provincial power grid is analyzed as an example. It is shown that the ability of the power CPS to resist cascading failures can be improved by the local growth evolution model of the communication networks. The ability is greater when the probability of reconnection is p = 0.06. By updating or constructing new links, the change in power flow entropy can be effectively reduced.

Suggested Citation

  • Yuchen Fang & Xiafei Tang & Li Tang & Yang Chen & Weiyu Wang, 2022. "Local Evolution Model of the Communication Network for Reducing Outage Risk of Power Cyber-Physical System," Energies, MDPI, vol. 15(21), pages 1-14, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:7876-:d:951537
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    References listed on IDEAS

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    1. Zunshui Cheng & Jinde Cao & Tasawar Hayat, 2014. "Cascade of failures in interdependent networks with different average degree," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 25(05), pages 1-11.
    2. Hu, Jianqiang & Yu, Jie & Cao, Jinde & Ni, Ming & Yu, Wenjie, 2014. "Topological interactive analysis of power system and its communication module: A complex network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 99-111.
    3. Johansson, Jonas & Hassel, Henrik, 2010. "An approach for modelling interdependent infrastructures in the context of vulnerability analysis," Reliability Engineering and System Safety, Elsevier, vol. 95(12), pages 1335-1344.
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