A new model to analyze power system dependencies

Malhar Padhee, Joydeep Banerjee, Kaustav Basu, Sohini Roy, Anamitra Pal, Arunabha Sen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


In a power systems context, dependency implies the reliance of certain system entities on the functioning of other system entities. Finding the appropriate level of abstraction for modeling power system dependency is a non-trivial task. This is true as a detailed study might be computationally intensive, while analysis done at a highly aggregated level might not provide very useful information. In this paper, a new model is proposed to analyze power system dependencies, which overcomes the limitations of existing models. A formal description of the model along with its working dynamics and a brief validation with respect to the 2011 Southwest Blackout are provided. The results indicate that this model is able to successfully capture the complex dependencies that exist in a modern power system.

Original languageEnglish (US)
Title of host publication2018 IEEE Texas Power and Energy Conference, TPEC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538610060
StatePublished - Mar 9 2018
Event2nd IEEE Texas Power and Energy Conference, TPEC 2018 - College Station, United States
Duration: Feb 8 2018Feb 9 2018

Publication series

Name2018 IEEE Texas Power and Energy Conference, TPEC 2018


Other2nd IEEE Texas Power and Energy Conference, TPEC 2018
Country/TerritoryUnited States
CityCollege Station


  • Cascading failure
  • implicative interdependency model (IIM)
  • operational implicative interdependency model (OIIM)
  • phasor measurement unit (PMU)
  • power system dependency

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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