Journal of Electrical Engineering ›› 2022, Vol. 17 ›› Issue (3): 162-169.doi: 10.11985/2022.03.019

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Information Network Local Evolution Model for Reducing Outage Risk of Power Grid Cyber-physical System

CHEN Yang(), CAI Ye(), TANG Li(), CAO Yijia, LIU Ying   

  1. College of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410114
  • Received:2021-11-15 Revised:2022-03-27 Online:2022-09-25 Published:2022-10-28
  • Contact: CAI Ye E-mail:983258652@qq.com;caiye1988427@126.com;1500728145@qq.com

Abstract:

The deep integration of power grid and information network is the basis for realizing the complete observability and controllability of power grid. However, the actual power grid and information network do not form a one-to-one correspondence, so it is difficult to realize the comprehensive perception of power grid. In this paper, a local evolution model of information network based on physical power grid topology is proposed. The model includes the construction, upgrading and transformation of information nodes and communication links. The new nodes and links are connected to the information network in the connection mode of growth evolution model. In addition, based on the cascading fault propagation model of partially dependent power cyber- physical system, this paper takes the complementary cumulative probability of load loss as the standard to evaluate the reliability of the interaction between physical power grid and information network with different reconnection probabilities. Taking a 220 kV and above power grid system in a province as an example, the effectiveness and robustness of the local evolution model of the information network are verified, and the ability of the power grid cyber-physical system is improved to resist cascading faults by constructing the local growth evolution model of the information network.

Key words: Power cyber-physical system, evolution model, cascading fault

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