Vulnerable Transmission Lines Identification Based on Complex Network Theory

Lu Nan, Tianqi Liu, Lei Wu, Chuan He, Yafei Yang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Vulnerable transmission lines play an important role in the spread of cascading failures and blackouts, which threaten the security and reliability of power grid. To identify vulnerable transmission lines with the increasing complexity of interconnected power grid, a new index called synthetic vulnerability is discussed in this paper to identify vulnerable transmission lines, by simultaneously evaluating topological vulnerability and power flow transmission vulnerability. Furthermore, a risk evaluation metric is introduced with enhanced risky exponential utility function to quantify influences on the power grid after identified vulnerable lines trip. Numerical results on the IEEE 5-bus system and the IEEE 39-bus system show the effectiveness of the proposed indices and the identification methods.

Original languageEnglish
Title of host publication2019 IEEE Power and Energy Society General Meeting, PESGM 2019
ISBN (Electronic)9781728119816
DOIs
StatePublished - Aug 2019
Event2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States
Duration: 4 Aug 20198 Aug 2019

Publication series

NameIEEE Power and Energy Society General Meeting
Volume2019-August
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933

Conference

Conference2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Country/TerritoryUnited States
CityAtlanta
Period4/08/198/08/19

Keywords

  • Topological betweenness
  • complex network theory
  • power flow
  • risk evaluation
  • synthetic vulnerability

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