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Use of Bayesian Belief Networks for risk management in energy distribution

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Probabilistic Safety Assessment and Management

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Abstract

We present the use of Bayesian Belief Networks (BBN) for risk management in power industry, especially risk assessment and risk mapping. We present a specific definition of risk, then, an application to the risk management of a gas and electricity distribution center. A risk map is elaborated, based on the risk analysis and the Bayesian network. We conclude the poster with the advantages and limitations of this approach.

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References

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Author information

Authors and Affiliations

  1. EDF/Research & Development Industrial Risk Management Department, 92141, Clamart, France

    Gilles Deleuze, Hélène Bertin, Anne Dutfoy, Sandrine Pierlot & Olivier Pourret

Authors
  1. Gilles Deleuze
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  2. Hélène Bertin
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  3. Anne Dutfoy
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  4. Sandrine Pierlot
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  5. Olivier Pourret
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Editor information

Editors and Affiliations

  1. TÜV Süddeutschland, Dudenstrasse 28, D-68167, Mannheim, Germany

    Cornelia Spitzer Dipl.-Math.

  2. Swiss Federal Nuclear Safety Inspectorate (HSK), CH-5232, Villigen-HSK, Switzerland

    Ulrich Schmocker PhD

  3. Paul Scherrer Institut (PSI), CH-5232, Villigen PSI, Switzerland

    Vinh N. Dang PhD

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© 2004 Springer-Verlag London

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Deleuze, G., Bertin, H., Dutfoy, A., Pierlot, S., Pourret, O. (2004). Use of Bayesian Belief Networks for risk management in energy distribution. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_132

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  • DOI: https://doi.org/10.1007/978-0-85729-410-4_132

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1057-6

  • Online ISBN: 978-0-85729-410-4

  • eBook Packages: Springer Book Archive

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