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Risk neutral and risk averse power optimization in electricity networks with dispersed generation

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  • Sebastian Kuhn
  • Rüdiger Schultz

Abstract

Models and algorithms for risk neutral and risk averse power optimization under uncertainty are presented. The approach differs from previous ones by incorporating the transmission network explicitly. Copyright Springer-Verlag 2009

Suggested Citation

  • Sebastian Kuhn & Rüdiger Schultz, 2009. "Risk neutral and risk averse power optimization in electricity networks with dispersed generation," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 69(2), pages 353-367, May.
    • Handle: RePEc:spr:mathme:v:69:y:2009:i:2:p:353-367
    DOI: 10.1007/s00186-008-0264-3
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    References listed on IDEAS

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    1. Stein W. Wallace & Stein-Erik Fleten, 2002. "Stochastic programming in energy," GE, Growth, Math methods 0201001, University Library of Munich, Germany, revised 13 Nov 2003.
    2. Ralf Gollmer & Matthias Nowak & Werner Römisch & Rüdiger Schultz, 2000. "Unit commitment in power generation – a basic model and some extensions," Annals of Operations Research, Springer, vol. 96(1), pages 167-189, November.
    3. E. J. Anderson & A. B. Philpott, 2002. "Optimal Offer Construction in Electricity Markets," Mathematics of Operations Research, INFORMS, vol. 27(1), pages 82-100, February.
    4. Matthias Nowak & Werner Römisch, 2000. "Stochastic Lagrangian Relaxation Applied to Power Scheduling in a Hydro-Thermal System under Uncertainty," Annals of Operations Research, Springer, vol. 100(1), pages 251-272, December.
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