Analysing the vulnerability of electric distribution systems: A step towards incorporating the societal consequences of disruptions
Author
Summary, in English
Reliable electrical power supply is a prerequisite for the modern society, and if it fails it can cause severe consequences in terms of economic losses and even fatalities. It is thus important to analyse the vulnerability of the electric power system. Network analysis has previously been used to analyse the vulnerability of electric transmission systems, however recent events in Sweden have shown that perturbations in distribution systems also can cause severe societal consequences. Thus, we argue that vulnerability analysis at the distribution level is equally important. Furthermore, previous work has focused on technical aspects of the system and in this paper we take a step towards incorporating societal aspects of vulnerability by suggesting new network analytic measures. We analyse the distribution systems in two Swedish municipalities using the proposed measures. We conclude that the proposed measures can increase the value of using network analysis when analysing societal vulnerability to perturbations in electric distribution systems and that such analysis also can be useful in emergency mitigation and preparedness planning.
Department/s
- Lund University Centre for Risk Assessment and Management (LUCRAM)
- Industrial Electrical Engineering and Automation
- Division of Fire Safety Engineering
- Division of Risk Management and Societal Safety
Publishing year
2007
Language
English
Pages
4-17
Publication/Series
International Journal of Emergency Management
Volume
4
Issue
1
Document type
Journal article
Publisher
Inderscience Publishers
Topic
- Social Sciences Interdisciplinary
- Building Technologies
- Other Civil Engineering
- Other Electrical Engineering, Electronic Engineering, Information Engineering
Keywords
- Infrastructures
- Network Analysis
- Societal Vulnerability
- Power System
Status
Published
Project
- FRIVA
Research group
- LUCRAM (Lund University Center for Risk Analysis and Management
ISBN/ISSN/Other
- ISSN: 1471-4825