Comparing Interaction Graphs on Cascading Outages under Different Loading Conditions

Zhenping Guo, Kai Sun, Srdjan Simunovic

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

Abstract

Interaction graphs on cascading outages of power systems provide valuable insights into how cascading outages evolve and propagate, and which components and links are critical to the propagation of cascading outages, enabling further development of mitigation strategies to support decision-making. However, the sensitivity of the interaction graph's topology to the system's loading condition has not been studied sufficiently. This paper compared interaction graphs under various loading conditions on the Northeastern Power Coordinating Council 140-bus system, and discovers the strong relationships between the graph topology, the cascade size distribution, and the load condition. Accordingly, three representative interaction graphs are constructed and illustrated.

Original languageEnglish
Title of host publication2024 IEEE Power and Energy Society General Meeting, PESGM 2024
PublisherIEEE Computer Society
ISBN (Electronic)9798350381832
DOIs
StatePublished - 2024
Event2024 IEEE Power and Energy Society General Meeting, PESGM 2024 - Seattle, United States
Duration: Jul 21 2024Jul 25 2024

Publication series

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

Conference

Conference2024 IEEE Power and Energy Society General Meeting, PESGM 2024
Country/TerritoryUnited States
CitySeattle
Period07/21/2407/25/24

Funding

This work was supported by UT-Battelle, LLC, through the U.S. Department of Energy under Contract DE-AC05-00OR22725.

FundersFunder number
UT-Battelle
U.S. Department of EnergyDE-AC05-00OR22725
U.S. Department of Energy

    Keywords

    • Cascading outages
    • component
    • interaction graph
    • link
    • loading condition

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