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dc.contributor.authorAasgård, Ellen Krohn
dc.date.accessioned2019-02-14T11:53:37Z
dc.date.available2019-02-14T11:53:37Z
dc.date.created2018-11-20T15:45:09Z
dc.date.issued2018
dc.identifier.isbn978-3-030-03310-1
dc.identifier.urihttp://hdl.handle.net/11250/2585439
dc.description.abstractPower producers with flexible production systems such as hydropower may sell their output in the day–ahead and balancing power markets. We present how the coordination of trades across multiple markets may be described as a stochastic program. Focus is on how the information structure inherent in the multi–market setting is represented through the scenario tree and mathematical modelling. In the model, each market is represented by a price or premium and an upper limit on the volume that can be traded at the given price. We illustrate our modelling by comparing coordinated versus sequential bidding strategies.nb_NO
dc.language.isoengnb_NO
dc.publisherSpringer Naturenb_NO
dc.titleCoordinated Hydropower Bidding in the Day-Ahead and Balancing Marketnb_NO
dc.title.alternativeCoordinated Hydropower Bidding in the Day-Ahead and Balancing Marketnb_NO
dc.typeChapternb_NO
dc.description.versionsubmittedVersionnb_NO
dc.source.pagenumber85nb_NO
dc.identifier.doi10.1007/978-3-030-03311-8_3
dc.identifier.cristin1632817
dc.relation.projectNorges forskningsråd: 243964nb_NO
dc.description.localcodeThis chapter will not be available due to copyright restrictions (c) 2018 by Springernb_NO
cristin.unitcode194,60,25,0
cristin.unitnameInstitutt for industriell økonomi og teknologiledelse
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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