A New Model to Analyze Power and Communication System Intra-and-Inter Dependencies

Sohini Roy, Harish Chandrasekaran, Anamitra Pal, Arunabha Sen

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

3 Scopus citations

Abstract

The reliable and resilient operation of the smart grid necessitates a clear understanding of the intra-and-inter dependencies of its power and communication systems. This understanding can only be achieved by accurately depicting the interactions between the different components of these two systems. This paper presents a model, called modified implicative interdependency model (MIIM), for capturing these interactions. Data obtained from a power utility in the U.S. Southwest is used to ensure the validity of the model. The performance of the model for a specific power system application namely, state estimation, is demonstrated using the IEEE 118-bus system. The results indicate that the proposed model is more accurate than its predecessor, the implicative interdependency model (IIM) [1], in predicting the system state in case of failures in the power and/or communication systems.

Original languageEnglish (US)
Title of host publication2020 IEEE Conference on Technologies for Sustainability, SusTech 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728131085
DOIs
StatePublished - Apr 2020
Externally publishedYes
Event7th IEEE Conference on Technologies for Sustainability, SusTech 2020 - Santa Ana, Orange County, United States
Duration: Apr 23 2020Apr 25 2020

Publication series

Name2020 IEEE Conference on Technologies for Sustainability, SusTech 2020

Conference

Conference7th IEEE Conference on Technologies for Sustainability, SusTech 2020
Country/TerritoryUnited States
CitySanta Ana, Orange County
Period4/23/204/25/20

Keywords

  • Inter-dependency relations (IDRs)
  • Phasor measurement unit (PMU)
  • Smart grid
  • State estimation
  • Supervisory control and data acquisition (SCADA)

ASJC Scopus subject areas

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

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