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Henrik Hassel

Avdelningschef

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Topological Performance Measures as Surrogates for Physical Flow Models for Risk and Vulnerability Analysis for Electric Power Systems

Författare

  • Sarah LaRocca
  • Jonas Johansson
  • Henrik Hassel
  • Seth Guikema

Summary, in English

Critical infrastructure systems must be both robust and resilient in order to ensure the functioning of

society. To improve the performance of such systems, we often use risk and vulnerability analysis to nd and

address system weaknesses. A critical component of such analyses is the ability to accurately determine the

negative consequences of various types of failures in the system. Numerous mathematical and simulation models

exist which can be used to this end. However, there are relatively few studies comparing the implications of

using dierent modeling approaches in the context of comprehensive risk analysis of critical infrastructures.

Thus in this paper, we suggest a classication of these models, which span from simple topologically-oriented

models to advanced physical

ow-based models. Here, we focus on electric power systems and present a study

aimed at understanding the tradeos between simplicity and delity in models used in the context of risk

analysis. Specically, the purpose of this paper is to compare performances measures achieved with a spectrum

of approaches typically used for risk and vulnerability analysis of electric power systems and evaluate if

more simplied topological measures can be combined using statistical methods to be used as a surrogate

for physical

ow models. The results of our work provide guidance as to appropriate models or combination

of models to use when analyzing large-scale critical infrastructure systems, where simulation times quickly

become insurmountable when using more advanced models, severely limiting the extent of analyses that can

be performed.

Avdelning/ar

  • Lund University Centre for Risk Assessment and Management (LUCRAM)
  • Industriell elektroteknik och automation
  • Avdelningen för Brandteknik
  • Avdelningen för Riskhantering och Samhällssäkerhet

Publiceringsår

2013

Språk

Engelska

Dokumenttyp

Övrigt

Ämne

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

Nyckelord

  • critical infrastructure
  • electric power
  • functional models
  • topological models
  • load flow

Status

Published