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Quantification of Cascading Failure Propagation in Power Systems

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This paper studies cascading failure propagation in power systems and presents methods for the quantification of important properties of failure propagation. First, the topological properties of cascading failure propagation are examined. This includes an analysis of the electrical distance between consecutive failures, shedding light on the spatial spread of failures. Additionally, the formation of islands in cascading failure processes is explored to understand their topological characteristics. Second, the paper measures the evolution of a power system during cascading failure processes, considering both the topological changes of the overall system and the propagation rates of system loss. This analysis provides a measurable comprehension of how the system evolves and adapts as failures propagate. Third, this study investigates system loss and analyzes the contributions of various failure mechanisms to the overall system loss. Numerical experiments yield valuable insights into the propagation of cascading failures, leading to several significant conclusions. The findings from this research can inform the development of effective strategies for resilience enhancement and risk mitigation. © 2024 IEEE.
Original languageEnglish
Pages (from-to)3717-3725
Number of pages9
JournalIEEE Transactions on Circuits and Systems I: Regular Papers
Volume71
Issue number8
Online published11 Apr 2024
DOIs
Publication statusPublished - Aug 2024

Funding

This work was supported in part by Hong Kong Research Grants Council under Grant GRF CityU11207121E and in part by the City University of Hong Kong under Grant 9380114 and Grant 9610515.

Research Keywords

  • Cascading failure
  • cascading failure propagation
  • complex network
  • graph edit distance
  • Load flow
  • Load modeling
  • Network topology
  • Power system faults
  • Power system protection
  • power system resilience
  • Power system stability
  • Transmission line measurements

RGC Funding Information

  • RGC-funded

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