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

doi:10.23919/AEIT.2019.8893378

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	2019 AEIT International Annual Conference, AEIT 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9788887237450
DOIs	https://doi.org/10.23919/AEIT.2019.8893378
State	Published - Sep 2019
Externally published	Yes
Event	111th Annual AEIT International Annual Conference, AEIT 2019 - Florence, Italy Duration: 18 Sep 2019 → 20 Sep 2019

Publication series

Name	2019 AEIT International Annual Conference, AEIT 2019

Conference

Conference	111th Annual AEIT International Annual Conference, AEIT 2019
Country/Territory	Italy
City	Florence
Period	18/09/19 → 20/09/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

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

Access to Document

10.23919/AEIT.2019.8893378

Cite this

Muka, R., Haugli, F. B., Vefsnmo, H., & Heegaard, P. E. (2019). Information Inconsistencies in Smart Distribution Grids under Different Failure Causes modelled by Stochastic Activity Networks. In 2019 AEIT International Annual Conference, AEIT 2019 Article 8893378 (2019 AEIT International Annual Conference, AEIT 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/AEIT.2019.8893378

@inproceedings{635f5702b1ac4d2ba06c43fca64f9c9c,

title = "Information Inconsistencies in Smart Distribution Grids under Different Failure Causes modelled by Stochastic Activity Networks",

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.",

keywords = "cyber-physical system modelling, dependability taxonomy, smart grid dependability, stochastic activity networks",

author = "Romina Muka and Haugli, \{Fredrik Bakkevig\} and Hanne Vefsnmo and Heegaard, \{Poul E.\}",

note = "Publisher Copyright: {\textcopyright} 2019 AEIT.; 111th Annual AEIT International Annual Conference, AEIT 2019 ; Conference date: 18-09-2019 Through 20-09-2019",

year = "2019",

month = sep,

doi = "10.23919/AEIT.2019.8893378",

language = "English",

series = "2019 AEIT International Annual Conference, AEIT 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 AEIT International Annual Conference, AEIT 2019",

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Muka, R, Haugli, FB, Vefsnmo, H & Heegaard, PE 2019, Information Inconsistencies in Smart Distribution Grids under Different Failure Causes modelled by Stochastic Activity Networks. in 2019 AEIT International Annual Conference, AEIT 2019., 8893378, 2019 AEIT International Annual Conference, AEIT 2019, Institute of Electrical and Electronics Engineers Inc., 111th Annual AEIT International Annual Conference, AEIT 2019, Florence, Italy, 18/09/19. https://doi.org/10.23919/AEIT.2019.8893378

Information Inconsistencies in Smart Distribution Grids under Different Failure Causes modelled by Stochastic Activity Networks. / Muka, Romina; Haugli, Fredrik Bakkevig; Vefsnmo, Hanne et al.
2019 AEIT International Annual Conference, AEIT 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8893378 (2019 AEIT International Annual Conference, AEIT 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Information Inconsistencies in Smart Distribution Grids under Different Failure Causes modelled by Stochastic Activity Networks

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AU - Haugli, Fredrik Bakkevig

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AU - Heegaard, Poul E.

PY - 2019/9

Y1 - 2019/9

N2 - 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.

AB - 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.

KW - cyber-physical system modelling

KW - dependability taxonomy

KW - smart grid dependability

KW - stochastic activity networks

UR - https://www.scopus.com/pages/publications/85075353922

U2 - 10.23919/AEIT.2019.8893378

DO - 10.23919/AEIT.2019.8893378

M3 - Conference contribution

AN - SCOPUS:85075353922

T3 - 2019 AEIT International Annual Conference, AEIT 2019

BT - 2019 AEIT International Annual Conference, AEIT 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 111th Annual AEIT International Annual Conference, AEIT 2019

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ER -

Muka R, Haugli FB, Vefsnmo H, Heegaard PE. Information Inconsistencies in Smart Distribution Grids under Different Failure Causes modelled by Stochastic Activity Networks. In 2019 AEIT International Annual Conference, AEIT 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8893378. (2019 AEIT International Annual Conference, AEIT 2019). doi: 10.23919/AEIT.2019.8893378

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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