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Stochastic Programming for Power Production and Trading Under Uncertainty

In: Mathematics — Key Technology for the Future

Author

Listed:
  • Rüdiger Schultz

    (Gerhard-Mercator-University Duisburg, Dept. of Mathematics)

  • Matthias P. Nowak

    (Gerhard-Mercator-University Duisburg, Dept. of Mathematics)

  • Robert Nürnberg

    (Humboldt-University Berlin, Inst. of Mathematics)

  • Werner Römisch

    (Humboldt-University Berlin, Inst. of Mathematics)

  • Markus Westphalen

    (Gerhard-Mercator-University Duisburg, Dept. of Mathematics)

Abstract

Optimization models under uncertainty for mid-term cost-optimal operation of a hydro-thermal power system and for simultaneous power production and day-ahead trading at a power exchange are presented. Algorithms for solving these models are sketched and initial numerical experience is reported.

Suggested Citation

  • Rüdiger Schultz & Matthias P. Nowak & Robert Nürnberg & Werner Römisch & Markus Westphalen, 2003. "Stochastic Programming for Power Production and Trading Under Uncertainty," Springer Books, in: Willi Jäger & Hans-Joachim Krebs (ed.), Mathematics — Key Technology for the Future, pages 623-636, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-55753-8_48
    DOI: 10.1007/978-3-642-55753-8_48
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