Logo of Humboldt-Universität zu BerlinLogo of Humboldt-Universität zu Berlin
edoc-Server
Open-Access-Publikationsserver der Humboldt-Universität
de|en
Header image: facade of Humboldt-Universität zu Berlin
View Item 
  • edoc-Server Home
  • Elektronische Zeitschriften
  • Stochastic Programming E-print Series (SPEPS)
  • Volume 2006
  • View Item
  • edoc-Server Home
  • Elektronische Zeitschriften
  • Stochastic Programming E-print Series (SPEPS)
  • Volume 2006
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
All of edoc-ServerCommunity & CollectionTitleAuthorSubjectThis CollectionTitleAuthorSubject
PublishLoginRegisterHelp
StatisticsView Usage Statistics
All of edoc-ServerCommunity & CollectionTitleAuthorSubjectThis CollectionTitleAuthorSubject
PublishLoginRegisterHelp
StatisticsView Usage Statistics
View Item 
  • edoc-Server Home
  • Elektronische Zeitschriften
  • Stochastic Programming E-print Series (SPEPS)
  • Volume 2006
  • View Item
  • edoc-Server Home
  • Elektronische Zeitschriften
  • Stochastic Programming E-print Series (SPEPS)
  • Volume 2006
  • View Item
2006-10-27Buch DOI: 10.18452/8365
Short-term hydropower production planning by stochastic programming
Fleten, Stein-Erik
Kristoffersen, Trine Krogh
Within the framework of multi-stage mixed-integer linear stochastic programmingwe develop a short-term production plan for a price-taking hydropower plant op-erating under uncertainty. Current production must comply with the day-aheadcommitments of the previous day which makes short-term production planning amatter of spatial distribution among the reservoirs of the plant. Day-ahead marketprices and reservoir inflows are, however, uncertain beyond the current operationday and water must be allocated among the reservoirs in order to strike a balancebetween current profits and expected future profits. A demonstration is presentedwith data from a Norwegian hydropower producer and the Nordic power market atNord Pool.Keywords: OR in energy; hydropower; stochastic programming; scenarios
Files in this item
Thumbnail
16.pdf — Adobe PDF — 237.2 Kb
MD5: 364fa9363787738d251cfe7a3fb94832
Cite
BibTeX
EndNote
RIS
InCopyright
Details
DINI-Zertifikat 2019OpenAIRE validatedORCID Consortium
Imprint Policy Contact Data Privacy Statement
A service of University Library and Computer and Media Service
© Humboldt-Universität zu Berlin
 
DOI
10.18452/8365
Permanent URL
https://doi.org/10.18452/8365
HTML
<a href="https://doi.org/10.18452/8365">https://doi.org/10.18452/8365</a>