Discussion of Power System Operation Risk Control Technology in Natural Disasters

  • Kang ChangEmail author
  • Ming Zhao
  • Chen Yu
  • Jun Guo
  • Haohao Wang
  • Taishan Xu
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 584)


It has become a common consensus that the blackout defense framework has been extended to the early warning of natural disasters. Due to the spatial and temporal distribution characteristics of natural disasters’ evolution, and fault uncertainty induced by natural disasters, it is urgent to extend the safety and stability analysis of power system based on deterministic criterion to the operation risk assessment, to extend traditional safety and stability control based on deterministic scenarios listed in three-defense-lines to risk control. In this paper, several key technologies in the field of disaster prevention, namely fault probability assessment, contingency set generation and screening, operation risk assessment and risk control decision-making, are reviewed firstly. Secondly, the risk control framework which is compatible with traditional three-defense-lines and suitable of natural disasters characteristics is discussed. Then the improved method of improving the mentioned key technologies is proposed under the risk control framework.


Natural disasters Operation risk of power system Fault probability Contingency set screening Risk evaluation Risk control Three-defense-lines 



This work is supported by Science and technology project of SGCC, “Research and engineering application on the optimal disposal technology of cascading failure caused by fire in UHV and important interregional power grid”. And thanks to doctoral student WU Hao for his contribution to the documentation of this paper.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Kang Chang
    • 1
    Email author
  • Ming Zhao
    • 1
  • Chen Yu
    • 1
  • Jun Guo
    • 2
  • Haohao Wang
    • 1
  • Taishan Xu
    • 1
  1. 1.NARI Group Corporation (State Grid Electric Power Research Institute)NanjingChina
  2. 2.State Grid Hunan Electric Power Company LimitedChangshaChina

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