Comparing Topological Performance Measures and Physical Flow Models for Vulnerability Analysis of Power Systems
Johansson, Jonas LU
; LaRocca, Sarah
LU
; Hassel, Henrik
LU
and Guikema, Seth
(2012)
International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012 (PSAM11 ESREL 2012)
In 11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012, PSAM11 ESREL 2012
8.
p.6863-6872
- Abstract
- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2337670
- author
- Johansson, Jonas
LU
; LaRocca, Sarah
LU
; Hassel, Henrik
LU
and Guikema, Seth
- organization
- publishing date
- 2012
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Critical infrastructures, Functional models, Performance measures, Vulnerability analysis
- host publication
- 11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012, PSAM11 ESREL 2012
- series title
- 11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012, PSAM11 ESREL 2012
- volume
- 8
- pages
- 6863 - 6872
- conference name
- International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012 (PSAM11 ESREL 2012)
- conference location
- Helsinki, Finland
- conference dates
- 2012-06-27
- external identifiers
-
- scopus:84873135263
- ISBN
- 9781622764365
- language
- English
- LU publication?
- yes
- id
- 3c60aaf6-353e-4692-afb0-da404525769d (old id 2337670)
- date added to LUP
- 2016-04-04 12:17:26
- date last changed
- 2024-09-19 22:13:44
@inproceedings{3c60aaf6-353e-4692-afb0-da404525769d,
abstract = {{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.}},
author = {{Johansson, Jonas and LaRocca, Sarah and Hassel, Henrik and Guikema, Seth}},
booktitle = {{11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012, PSAM11 ESREL 2012}},
isbn = {{9781622764365}},
keywords = {{Critical infrastructures; Functional models; Performance measures; Vulnerability analysis}},
language = {{eng}},
pages = {{6863--6872}},
series = {{11th International Probabilistic Safety Assessment and Management Conference and the Annual European Safety and Reliability Conference 2012, PSAM11 ESREL 2012}},
title = {{Comparing Topological Performance Measures and Physical Flow Models for Vulnerability Analysis of Power Systems}},
volume = {{8}},
year = {{2012}},
}