The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Comparing Topological Performance Measures and Physical Flow Models for Vulnerability Analysis of Power Systems

Author

Summary, in English

Critical infrastructures must be both robust and resilient in order to ensure the functioning of society. A key activity in ensuring their proper function is finding and addressing system weaknesses by the means of risk and vulnerability analysis. A critical factor of such analysis is the ability to determine the negative consequences of various types of contingencies. Numerous mathematical and simulation models exist which can be used to this end. We suggest a classification of these models, which span from very simple topologically oriented models to very advanced dynamical models. There arc rather few studies comparing the implications of using different modeling approaches in the context of comprehensive vulnerability analysis of critical infrastructures. In this paper such a study is presented for the analysis of electric power systems with the aim of improving understanding of the tradeoffs between simplicity and fidelity in this context. More specifically, the purpose of the paper is to compare different models for vulnerability analysis of electric power systems and explore the consequence measures achieved with these models. To this end the IEEE RTS96 system is used. The results give guidance for appropriate models to use when analyzing large-scale interdependent infrastructure systems, where simulation times quickly become insurmountable when using more advanced models. It is concluded that some performance measures may give reasonable estimates on average of the consequences that arise when the system is perturbed, but may have limited value when estimating the consequences of specific failure scenarios.

Department/s

Publishing year

2012

Language

English

Pages

6863-6872

Publication/Series

11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012, PSAM11 ESREL 2012

Volume

8

Document type

Conference paper

Topic

  • Building Technologies
  • Other Electrical Engineering, Electronic Engineering, Information Engineering
  • Social Sciences Interdisciplinary
  • Other Civil Engineering

Keywords

  • Critical infrastructures
  • Functional models
  • Performance measures
  • Vulnerability analysis

Conference name

International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012 (PSAM11 ESREL 2012)

Conference date

2012-06-27

Conference place

Helsinki, Finland

Status

Published

ISBN/ISSN/Other

  • ISBN: 9781622764365