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Identification of Critical Transmission Sections Considering N-K Contingencies Under Extreme Events

Author

Listed:
  • Xiongguang Zhao

    (Central China Branch of State Grid Corporation of China, Wuhan 430077, China)

  • Xu Ling

    (Central China Branch of State Grid Corporation of China, Wuhan 430077, China)

  • Mingyu Yan

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430077, China)

  • Yi Dong

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430077, China)

  • Mingtao He

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430077, China)

  • Yirui Zhao

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430077, China)

Abstract

Monitoring critical transmission sections is essential for ensuring the operational security of power grids. This paper proposes a systematic method to identify critical transmission sections using the maximum flow–minimum cut theorem. The approach begins by representing the power grid as an undirected graph and identifying its hanging nodes. The network is then partitioned into several undirected subgraphs based on identified cut points. Each subgraph is transformed into a flow network according to actual power flow data. An efficient minimum cut set search algorithm is developed to locate potential transmission sections. To assess the risk under extreme conditions, a mixed-integer optimization model is formulated to select sections that are vulnerable to overload-induced tripping during N-K line outages caused by natural disasters. Simulation results on the IEEE RTS 24-bus and IEEE 39-bus systems validate the effectiveness and applicability of the proposed method.

Suggested Citation

  • Xiongguang Zhao & Xu Ling & Mingyu Yan & Yi Dong & Mingtao He & Yirui Zhao, 2025. "Identification of Critical Transmission Sections Considering N-K Contingencies Under Extreme Events," Energies, MDPI, vol. 18(16), pages 1-17, August.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:16:p:4342-:d:1724716
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