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dc.contributor.authorKristiansen, Martin
dc.contributor.authorKorpås, Magnus
dc.contributor.authorSvendsen, Harald Georg
dc.date.accessioned2018-02-22T11:34:23Z
dc.date.available2018-02-22T11:34:23Z
dc.date.created2018-01-02T15:59:13Z
dc.date.issued2017
dc.identifier.citationApplied Energy. 2017, 212 223-232.nb_NO
dc.identifier.issn0306-2619
dc.identifier.urihttp://hdl.handle.net/11250/2486412
dc.description.abstractElectricity grid infrastructures provides valuable flexibility in power systems with high shares of variable supply due to its ability to distribute low-cost supply to load centers (spatial), in addition to interlinking a variety of supply and demand characteristics that potentially offset each others negative impact on system balance (temporal). In this paper, we present a framework to investigate the benefits of alternative flexibility providers, such as fast-ramping gas turbines, hydropower and demand side management, by using a generation and transmission capacity expansion planning model. We demonstrate our findings with a multinational case study of the North Sea Offshore Grid with an infrastructure typology from year 2016 and operational data for year 2030 – considering a range of renewable capacity levels spanning from 0% to 100%. First, we show how different flexibility providers are allocated geographically by the model. Second, operational cost savings are quantified per incremental unit of flexible capacity. Finally, we present a way to rank different flexibility providers by considering their marginal contribution to aggregate cost savings, reduced CO2 emissions, and increased utilization of renewable energy sources in the system. The Shapley Value from cooperative game theory allows us to assess the latter benefits accounting for all possible sequences of technology deployment, in contrast to traditional approaches. The presented framework could help to gain insights for energy policy designs or risk assessments.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleA generic framework for power system flexibility analysis using cooperative game theorynb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber223-232nb_NO
dc.source.volume212nb_NO
dc.source.journalApplied Energynb_NO
dc.identifier.doi10.1016/j.apenergy.2017.12.062
dc.identifier.cristin1534103
dc.description.localcode© 2017. This is the authors’ accepted and refereed manuscript to the article. Locked until 22.12.2019 due to copyright restrictions. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/nb_NO
cristin.unitcode194,63,20,0
cristin.unitnameInstitutt for elkraftteknikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal