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

2 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
CountryUnited 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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