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

Abstract

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.
Pages1-6
Number of pages6
Volume2018-February
ISBN (Electronic)9781538610060
DOIs
StatePublished - Mar 9 2018
Event2nd IEEE Texas Power and Energy Conference, TPEC 2018 - College Station, United States
Duration: Feb 8 2018Feb 9 2018

Other

Other2nd IEEE Texas Power and Energy Conference, TPEC 2018
CountryUnited States
CityCollege Station
Period2/8/182/9/18

Keywords

  • 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

Cite this

Padhee, M., Banerjee, J., Basu, K., Roy, S., Pal, A., & Sen, A. (2018). A new model to analyze power system dependencies. In 2018 IEEE Texas Power and Energy Conference, TPEC 2018 (Vol. 2018-February, pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/TPEC.2018.8312075