Increase of Power System Survivability with the Decision Support Tool CRIPS Based on Network Planning and Simulation Program PSS®SINCAL

  • Christine Schwaegerl
  • Olaf Seifert
  • Robert Buschmann
  • Hermann Dellwing
  • Stefan Geretshuber
  • Claus Leick
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5508)

Abstract

The increased interconnection and automation of critical infrastructures enlarges the complexity of the dependency structures and – as consequence – the danger of cascading effects, e.g. causing area-wide blackouts in power supply networks that are currently after deregulation operated closer to their limits. New tools or an intelligent combination of existing approaches are required to increase the survivability of critical infrastructures. Within the IRRIIS project the expert system CRIPS was developed based on network simulations realised with PSS®SINCAL, an established tool to support the analysis and planning of electrical power, gas, water or heat networks. CRIPS assesses the current situation in power supply networks analysing the simulation results of the physical network behaviour and recommends corresponding decisions.

This paper describes the interaction of the simulation tool PSS®SINCAL with the assessment and decision support tool CRIPS; a possible common use-case is outlined and benefits of this application are shown.

Keywords

Power supply network planning simulation situation assessment decision making emergency management expert system 

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References

  1. 1.
    IRRIIS: Integrated Risk Reduction of Information-based Infrastructure Systems. 6th framework program, http://www.irriis.org
  2. 2.
    PSS®SINCAL system manual, description of the program, www.siemens.com/systemplanning (follow link software solutions)
  3. 3.
    Dellwing, H., Schmitz, W.: Expert system CRIPS: Support of Situation Assessment and Decision Making. In: Lopez, J., Hämmerli, B.M. (eds.) CRITIS 2007. LNCS, vol. 5141. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  4. 4.
    Russel, S., Norvig, P.: Künstliche Intelligenz – Ein moderner Ansatz. Prentice-Hall, Englewood Cliffs (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Christine Schwaegerl
    • 1
  • Olaf Seifert
    • 1
  • Robert Buschmann
    • 2
  • Hermann Dellwing
    • 2
  • Stefan Geretshuber
    • 2
  • Claus Leick
    • 2
  1. 1.Siemens AGErlangenGermany
  2. 2.IABG mbHOttobrunnGermany

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