Electric Power ›› 2024, Vol. 57 ›› Issue (2): 41-48.DOI: 10.11930/j.issn.1004-9649.202311114

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Fuzzy Partitioned Multi-objective Risk Framework Based Operational Risk Assessment of Cascading Failure for Power Grid

Shi MO1(), Qiushi XU1, Zijing LU2, Zishou LI2, Hongsheng ZHAO1, Li QIAO1, Chao LUO3()   

  1. 1. State Grid Hubei Electric Power Company Economic and Technical Research Institute, Wuhan 430200, China
    2. State Grid Hubei Electric Power Co., Ltd., Wuhan 430077, China
    3. Central Southern China Electric Power Design Institute Co., Ltd. of China Power Engineering Consulting Group, Wuhan 430071, China
  • Received:2023-11-12 Accepted:2024-02-10 Online:2024-02-23 Published:2024-02-28
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.52177077).

Abstract:

On the basis of analyzing the difference between the long-term evolution process and the short-term evolution process of the power grid, the concept of power grid cascading failure operation risk is proposed, the relationship between the long-term risk of cascading failure and operation risk is quantitatively analyzed, and a power grid cascading failure operation risk assessment model is established. The Monte Carlo method is used to simulate the evolution of the power grid with a given initial operating mode, and a fuzzy segmentation multi-objective risk framework is introduced to establish an evaluation index system. An example study was conducted in the IEEE 118 node system to analyze the impact of system operating parameters on the risk of power grid cascading failure under a given operating mode.

Key words: cascading failure, operational risk, Monte Carlo method