|edoc-Server der Humboldt-Universität zu Berlin|
Stein-Erik Fleten, Norwegian University of Science and Technology|
Trine Krogh Kristoffersen, University of Aarhus
|Title:||Stochastic programming for optimizing bidding strategies of a nordic hydropower producer|
|Date of Acceptance:||15.04.2006|
Stochastic Programming E-Print Series |
|Editors:||Julie L. Higle; Werner Römisch; Surrajeet Sen|
|Appeared in:||European J. of Operational Research 181 (Vol. (2), 2007)|
|Metadata export: To export the complete metadata set as Endote or Bibtex format please click to the appropriate link.||Endnote Bibtex|
|From the point of view of a price-taking hydropower producer participating in the day-ahead power market, market prices are highly uncertain. The present paper provides a model for determining optimal bidding strategies taking into account this uncertainty. In particular, realistic market price scenarios are generated and a stochastic mixed-integer linear programming model that takes in both production and physical trading aspects is developed. The idea is to explore the effects of including uncertainty into the optimization model and to compare the stochastic approach to a deterministic one. The model is illustrated with data from a Norwegian hydropower producer and the Nordic power market at Nord Pool.|
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