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dc.contributor.authorKallset, Vegard Viken
dc.contributor.authorJaehnert, Stefan
dc.date.accessioned2023-07-11T11:22:18Z
dc.date.available2023-07-11T11:22:18Z
dc.date.created2023-07-06T14:13:50Z
dc.date.issued2023
dc.identifier.citation2023 19th International Conference on the European Energy Market - EEMen_US
dc.identifier.isbn979-8-3503-1258-4
dc.identifier.urihttps://hdl.handle.net/11250/3077603
dc.description.abstractFlow-based market clearing will be implemented in the Nordic system in 2024. Nordic hydropower, with its large reservoirs require long-term production planning. Therefore, using exogenous flow-based constraints, we aim at approximating the flow-based domain of a model with a detailed description.First, we demonstrate that when using a detailed grid description, different aggregation schemes for power transfer distribution factors yield almost identical prices and reservoir handling.Using a flat aggregation scheme as the reference, three cases with exogenous grid constraints are compared. The power transfer distribution factors are kept the same, but the capacities on the critical network elements are chosen to be the maximum, minimum and median of the observed values.The results show that the case with median capacity can give a descent approximation of the prices obtained with detailed grid. The cases with minimum and maximum capacities can work as upper and lower bounds.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2023 19th International Conference on the European Energy Market - EEM
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleApproximating the flow-based domain for long-term market analysis in hydropower-dominated power systemsen_US
dc.title.alternativeApproximating the flow-based domain for long-term market analysis in hydropower-dominated power systemsen_US
dc.typeChapteren_US
dc.typePeer revieweden_US
dc.description.versionacceptedVersionen_US
dc.rights.holderThe Authors hold the copyright to the Author Accepted Manuscript. Distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)en_US
dc.identifier.cristin2161249
dc.relation.projectNorges forskningsråd: 309413en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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