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dc.contributor.authorHelseth, Arild
dc.date.accessioned2023-01-23T12:21:55Z
dc.date.available2023-01-23T12:21:55Z
dc.date.created2022-11-11T08:05:13Z
dc.date.issued2022
dc.identifier.isbn978-82-14-07591-5
dc.identifier.urihttps://hdl.handle.net/11250/3045310
dc.description.abstractThis report elaborates on the possibilities for reducing computation time in the Fansi power market model by applying relaxation techniques and temporal decomposition. Findings and conclusions are supported by computational experiments conducted on a realistic large-scale dataset. Relaxation of reservoir balance constraints are investigated, and an effective heuristic method is presented. Both serial and parallel implementations of Benders decomposition applied to a deterministic linear programming problem are investigated. Although the parallel implementation shows potential for improving computational performance, further investigations are recommended.en_US
dc.description.abstractRelaxation Techniques and Temporal Decomposition of Scenarios in Fundamental Power Market Modelsen_US
dc.language.isoengen_US
dc.publisherSINTEF Energi ASen_US
dc.relation.ispartofSINTEF Rapport
dc.relation.ispartofseriesSINTEF Rapport;
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleRelaxation Techniques and Temporal Decomposition of Scenarios in Fundamental Power Market Modelsen_US
dc.title.alternativeRelaxation Techniques and Temporal Decomposition of Scenarios in Fundamental Power Market Modelsen_US
dc.typeResearch reporten_US
dc.description.versionpublishedVersionen_US
dc.rights.holderSINTEF Energi ASen_US
dc.source.pagenumber37en_US
dc.source.issue2022:00960en_US
dc.identifier.cristin2072191
dc.relation.projectNorges forskningsråd: 309892en_US
cristin.ispublishedtrue
cristin.fulltextoriginal


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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