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SPEPS Preprint

Author(s): 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
Submission Date: 04.04.2006
Series Title: Stochastic Programming E-Print Series
(SPEPS)
Editors: Julie L. Higle; Werner Römisch; Surrajeet Sen
Appeared in: European J. of Operational Research 181 (Vol. (2), 2007)
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Abstract (eng):
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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Startseite31435466 3213235 24
PDF43556 1024193458751168

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