Information Inconsistencies in Smart Distribution Grids under Different Failure Causes modelled by Stochastic Activity Networks

Romina Muka, Fredrik Bakkevig Haugli, Hanne Vefsnmo, Poul E. Heegaard

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

3 Scopus citations

Abstract

The ongoing digitalization of the power distribution grid will improve the operational support and automation which is believed to increase the system reliability. However, in an integrated and interdependent cyber-physical system, new threats appear which must be understood and dealt with. Of particular concern, in this paper, is the causes of an inconsistent view between the physical system (here power grid) and the Information and Communication Technology (ICT) system (here Distribution Management System). In this paper we align the taxonomy used in International Electrotechnical Commission (power eng.) and International Federation for Information Processing (ICT community), define a metric for inconsistencies, and present a modelling approach using Stochastic Activity Networks to assess the consequences of inconsistencies. The feasibility of the approach is demonstrated in a simple use case.

Original languageEnglish
Title of host publication2019 AEIT International Annual Conference, AEIT 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9788887237450
DOIs
StatePublished - Sep 2019
Externally publishedYes
Event111th Annual AEIT International Annual Conference, AEIT 2019 - Florence, Italy
Duration: 18 Sep 201920 Sep 2019

Publication series

Name2019 AEIT International Annual Conference, AEIT 2019

Conference

Conference111th Annual AEIT International Annual Conference, AEIT 2019
Country/TerritoryItaly
CityFlorence
Period18/09/1920/09/19

Keywords

  • cyber-physical system modelling
  • dependability taxonomy
  • smart grid dependability
  • stochastic activity networks

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