Line Failure Localization of Power Networks Part I: Non-cut outages

Linqi Guo, Chen Liang, Alessandro Zocca, Steven Low, Adam Wierman

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Transmission line failures in power systems propagate non-locally, making the control of the resulting outages extremely difficult. In this work, we establish a mathematical theory that characterizes the patterns of line failure propagation and localization in terms of network graph structure. It provides a novel perspective on distribution factors that precisely captures Kirchhoff's Law in terms of topological structures. Our results show that the distribution of specific collections of subtrees of the transmission network plays a critical role on the patterns of power redistribution, and motivates the block decomposition of the transmission network as a structure to understand long-distance propagation of disturbances. In Part I of this paper, we present the case when the post-contingency network remains connected after an initial set of lines are disconnected simultaneously. In Part II, we present the case when an outage separates the network into multiple islands.

Original languageEnglish
Article number9380543
Pages (from-to)4140-4151
Number of pages12
JournalIEEE Transactions on Power Systems
Volume36
Issue number5
Early online date17 Mar 2021
DOIs
Publication statusPublished - Sept 2021

Bibliographical note

Publisher Copyright:
CCBY

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Keywords

  • Cascading failure
  • contingency analysis
  • Laplace equations
  • Laplacian matrix
  • Mathematical model
  • Matrix decomposition
  • Power system faults
  • Power system protection
  • Power transmission lines
  • spanning forests
  • Transmission line matrix methods

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