Risk Analysis of Electricity Supply

Gerd Kjølle () and Oddbjørn Gjerde
Additional contact information
Gerd Kjølle: SINTEF Energy Research
Oddbjørn Gjerde: SINTEF Energy Research

Chapter Chapter 7 in Risk and Interdependencies in Critical Infrastructures, 2012, pp 95-108 from Springer

Abstract: Abstract Society is critically dependent on a reliable electricity supply to maintain its functionality. Electricity supply interruptions lead to direct consequences for the electricity users and will in general have an impact on dependent infrastructures and their services. This chapter describes a quantitative analytical approach for risk analysis of electricity supply. In this approach, the consequences of failures in the electricity system are analysed in terms of electricity supply interruptions to delivery points (DPs) serving for instance societal critical functions or other infrastructures. In a cross-sector risk analysis, this approach can be used in a detailed analysis for instance as input to cascade diagrams in the risk analysis of cascading failures and interdependencies with other infrastructures.

Keywords: Electricity Supply Interruptions; Cascade Diagram; Risk Analysis Approach; Equivalent Failure Rate; Component Reliability Data (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (17)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-1-4471-4661-2_7

Ordering information: This item can be ordered from
http://www.springer.com/9781447146612

DOI: 10.1007/978-1-4471-4661-2_7

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().