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With the wide application of information and communication technology in power system, the traditional power system has gradually transformed into a highly coupled cyber physical power system (CPPS). The identification of key nodes in cyber physical power system is an important issue in its vulnerability analysis. An improved power flow betweenness on the grid side and a key node identification method considering information flow on the communication network side are proposed. Firstly, the CPPS interdependent network model is constructed based on the complex network theory. Then, the node criticality is analyzed from the perspective of topology based on the structural hole theory and degree and average neighbor degree. At the same time, from the perspective of operating characteristics, the influence of the maximum available transmission power between the generator and the load on the node criticality is considered on the grid side, and the influence of the information flow of the communication link on the node importance is considered on the communication network side. The node importance index of the grid and communication network is established and the key nodes are identified. Finally, the IEEE39 node system is used to verify the effectiveness of the proposed method. The results show that the proposed key node identification method can effectively reflect the importance of nodes in CPPS.

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Key Node Identification of Cyber Physical Power System Based on Improved Power Flow Betweenness and Information Flow

  • 会议论文

  • 发表日期：

    2026年

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  • Kunqi Wang,
  • Haoqian Cui,
  • Shengyang Lu,
  • Huan Li,
  • Linglin Meng,
  • Fei Zheng,
  • Guiqing Ma,
  • Junyou Yang,
  • Haixin Wang

摘要

With the wide application of information and communication technology in power system, the traditional power system has gradually transformed into a highly coupled cyber physical power system (CPPS). The identification of key nodes in cyber physical power system is an important issue in its vulnerability analysis. An improved power flow betweenness on the grid side and a key node identification method considering information flow on the communication network side are proposed. Firstly, the CPPS interdependent network model is constructed based on the complex network theory. Then, the node criticality is analyzed from the perspective of topology based on the structural hole theory and degree and average neighbor degree. At the same time, from the perspective of operating characteristics, the influence of the maximum available transmission power between the generator and the load on the node criticality is considered on the grid side, and the influence of the information flow of the communication link on the node importance is considered on the communication network side. The node importance index of the grid and communication network is established and the key nodes are identified. Finally, the IEEE39 node system is used to verify the effectiveness of the proposed method. The results show that the proposed key node identification method can effectively reflect the importance of nodes in CPPS.