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Methods for Vulnerability Analysis of Power Systems

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Author

Summary, in English

Power systems are a vital infrastructure for the functioning of the society, generally regarded as one of the most critical infrastructures. Past power system blackouts (e.g., the Canadian ice-storm and New-Zeeland Power outage in 1998, the U.S. blackout in 2003, the European blackout in 2006 and the Indian blackout in 2012) have revealed the inherent vulnerabilities of power systems as well as the catastrophic consequences of major power supply disruptions. Hence it is of utmost importance to ensure both reliable and robust power supply to the society. Here it is argued that methods for vulnerability analysis complements traditional reliability oriented methods. The aim of the paper is to, through a numerical example, more readily discuss how the presented vulnerability oriented methods can be used in a decision context and how the results can be used from a system operator perspective, as such a topic is to a large extent lacking in current research literature. Three types of vulnerability analyses, addressing structural and geographical vulnerabilities, are demonstrated by using the IEEE RTS96 transmission system. The conclusion is that the presented vulnerability methods can give guidance towards what types of hazards and threats the system is vulnerable to and give guidance in decisions of how to decrease the vulnerability of the system.

Publishing year

2014

Language

English

Publication/Series

Proc. 11th Nordic Conference on Electricity Distribution System Management and Development (NORDAC)

Document type

Conference paper

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • Power systems
  • Vulnerability
  • High Impact

Conference name

Nordic Conference on Electricity Distribution System Management and Development (NORDAC11)

Conference date

2014-09-08 - 2014-09-09

Conference place

Stockholm, Sweden

Status

Published

Research group

  • LUCRAM (Lund University Center for Risk Analysis and Management