Trine Krogh Kristoffersen, University of Aarhus
(SPEPS)
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| edoc-Server der Humboldt-Universität zu Berlin |
| 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) |
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| 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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