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dc.contributor.authorAasgård, Ellen Krohn
dc.contributor.authorNaversen, Christian Øyn
dc.contributor.authorFodstad, Marte
dc.contributor.authorSkjelbred, Hans Ivar
dc.date.accessioned2017-07-12T13:38:58Z
dc.date.available2017-07-12T13:38:58Z
dc.date.created2017-02-28T20:20:10Z
dc.date.issued2017
dc.identifier.citationEnergy Systems, Springer Verlag. 2017nb_NO
dc.identifier.issn1868-3967
dc.identifier.urihttp://hdl.handle.net/11250/2448597
dc.description.abstractIn deregulated electricity markets, hydropower producers must bid their production into the day-ahead market. For price-taking producers, it is optimal to offer energy according to marginal costs, which for hydropower are determined by the opportunity cost of using water that could have been stored for future production. At the time of bidding, uncertainty of future prices and inflows may affect the opportunity costs and thus also the optimal bids. This paper presents a model for hydropower bidding where the bids are based on optimal production schedules from a stochastic model. We also present a heuristic algorithm for reducing the bid matrix into the size required by the market operator. Results for the optimized bids and the reduction algorithm are analyzed in a case study showing how uncertain inflows may affect the bids.nb_NO
dc.language.isoengnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleOptimizing day-ahead bid curves in hydropower productionnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.rights.holderAuthors have copyright to accepted versionnb_NO
dc.source.pagenumber19nb_NO
dc.source.journalEnergy Systems, Springer Verlagnb_NO
dc.identifier.doi10.1007/s12667-017-0234-z
dc.identifier.cristin1454798
cristin.unitcode7548,50,0,0
cristin.unitnameEnergisystemer
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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