The effect of increasing the algebraic connectivity on cascading failures in power grid networks

Zahra Nekudari, Abdorasoul Ghasemi

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

Abstract

Algebraic connectivity is a global criterion for assessing network resistance to failures. Algebraic connectivity is a monotone measure against the number of links added to a given network to enhance its robustness. In this paper, we show the effect of link addition on the size of cascading failures. Accordingly, we consider two different strategies for step-by-step link addition: Adding links to the network's core and adding links to the whole network. We choose new links using simulated annealing to maximize the algebraic connectivity. Simulation results suggest that although the core of the network has a significant impact on network robustness, adding links to the core did not significantly affect cascading failures. Conversely, we find that adding links to the whole network make the network robust against cascading failures.

Original languageEnglish
Title of host publication2021 26th International Computer Conference, Computer Society of Iran (CSICC)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)978-1-6654-1241-4
ISBN (Print)978-1-6654-2961-0
DOIs
Publication statusPublished - 7 May 2021
Externally publishedYes
Event26th International Computer Conference, Computer Society of Iran - Tehran, Iran, Islamic Republic of
Duration: 3 Mar 20214 Mar 2021

Publication series

Name26th International Computer Conference, Computer Society of Iran, CSICC 2021

Conference

Conference26th International Computer Conference, Computer Society of Iran
Abbreviated title CSICC 2021
Country/TerritoryIran, Islamic Republic of
CityTehran
Period3/03/214/03/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Algebraic connectivity
  • Cascading failures
  • power grid

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications

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