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SPEPS Preprint

Author(s): Stein-Erik Fleten, Norwegian University of Science and Technology
Trine Krogh Kristoffersen, University of Aarhus
Title: Short-term hydropower production planning by stochastic programming
Date of Acceptance: 27.10.2006
Submission Date: 12.09.2006
Series Title: Stochastic Programming E-Print Series
(SPEPS)
Editors: Julie L. Higle; Werner Römisch; Surrajeet Sen
Appeared in: Computers and Operations Research (Vol. 35, 2008)
Metadata export: To export the complete metadata set as Endote or Bibtex format please click to the appropriate link. Endnote   Bibtex  

Abstract (eng):
Within the framework of multi-stage mixed-integer linear stochastic programming we develop a short-term production plan for a price-taking hydropower plant op- erating under uncertainty. Current production must comply with the day-ahead commitments of the previous day which makes short-term production planning a matter of spatial distribution among the reservoirs of the plant. Day-ahead market prices and reservoir inflows are, however, uncertain beyond the current operation day and water must be allocated among the reservoirs in order to strike a balance between current profits and expected future profits. A demonstration is presented with data from a Norwegian hydropower producer and the Nordic power market at Nord Pool. Keywords: OR in energy; hydropower; stochastic programming; scenarios
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