A Hazus-Based Method for Assessing Robustness of Electricity Supply to Critical Smart Grid Consumers during Flood Events

Alexandr Vasenev; L. Montoya; Andrea Ceccarelli

doi:10.1109/ARES.2016.12

A Hazus-Based Method for Assessing Robustness of Electricity Supply to Critical Smart Grid Consumers during Flood Events

Alexandr Vasenev, L. Montoya, Andrea Ceccarelli

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

9 Citations (Scopus)

8 Downloads (Pure)

Abstract

Ensuring an external electricity supply to critical city components during flood events requires adequate urban grid planning. The proliferation of smart grid technologies means that such planning needs to assess how smart grids might function during floods. This paper proposes a method to qualitatively investigate robustness of electricity supply to smart grid consumers during flood events. This method builds on the Hazus methodology and aims to provide inputs for the risk analysis of urban grids.

Original language	Undefined
Title of host publication	11th International Conference on Availability, Reliability and Security, ARES 2016
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE
Pages	223-228
Number of pages	6
ISBN (Print)	978-1-5090-0990-9
DOIs	https://doi.org/10.1109/ARES.2016.12
Publication status	Published - 2 Sept 2016
Event	11th International Conference on Availability, Reliability and Security, ARES 2016: The International Dependability Conference - Salzburg, Austria Duration: 31 Aug 2016 → 2 Sept 2016 Conference number: 11

Publication series

Name
Publisher	IEEE

Conference

Conference	11th International Conference on Availability, Reliability and Security, ARES 2016
Abbreviated title	ARES
Country/Territory	Austria
City	Salzburg
Period	31/08/16 → 2/09/16

Keywords

SCS-Cybersecurity
METIS-320922
IR-102807
EWI-27538

UN SDGs

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

Access to Document

10.1109/ARES.2016.12

Cite this

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title = "A Hazus-Based Method for Assessing Robustness of Electricity Supply to Critical Smart Grid Consumers during Flood Events",

abstract = "Ensuring an external electricity supply to critical city components during flood events requires adequate urban grid planning. The proliferation of smart grid technologies means that such planning needs to assess how smart grids might function during floods. This paper proposes a method to qualitatively investigate robustness of electricity supply to smart grid consumers during flood events. This method builds on the Hazus methodology and aims to provide inputs for the risk analysis of urban grids.",

keywords = "SCS-Cybersecurity, METIS-320922, IR-102807, EWI-27538",

author = "Alexandr Vasenev and L. Montoya and Andrea Ceccarelli",

note = "10.1109/ARES.2016.12 ; 11th International Conference on Availability, Reliability and Security, ARES 2016 ; Conference date: 31-08-2016 Through 02-09-2016",

year = "2016",

month = sep,

day = "2",

doi = "10.1109/ARES.2016.12",

language = "Undefined",

isbn = "978-1-5090-0990-9",

publisher = "IEEE",

pages = "223--228",

booktitle = "11th International Conference on Availability, Reliability and Security, ARES 2016",

address = "United States",

}

Vasenev, A, Montoya, L & Ceccarelli, A 2016, A Hazus-Based Method for Assessing Robustness of Electricity Supply to Critical Smart Grid Consumers during Flood Events. in 11th International Conference on Availability, Reliability and Security, ARES 2016. IEEE, Piscataway, NJ, USA, pp. 223-228, 11th International Conference on Availability, Reliability and Security, ARES 2016, Salzburg, Austria, 31/08/16. https://doi.org/10.1109/ARES.2016.12

A Hazus-Based Method for Assessing Robustness of Electricity Supply to Critical Smart Grid Consumers during Flood Events. / Vasenev, Alexandr; Montoya, L.; Ceccarelli, Andrea.
11th International Conference on Availability, Reliability and Security, ARES 2016. Piscataway, NJ, USA: IEEE, 2016. p. 223-228.

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

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KW - SCS-Cybersecurity

KW - METIS-320922

KW - IR-102807

KW - EWI-27538

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