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dc.contributor.authorSkjelbred, Hans Ivar
dc.contributor.authorKong, Jiehong
dc.date.accessioned2019-09-11T13:43:56Z
dc.date.available2019-09-11T13:43:56Z
dc.date.created2019-04-23T15:38:49Z
dc.date.issued2019
dc.identifier.issn1755-1307
dc.identifier.urihttp://hdl.handle.net/11250/2616415
dc.description.abstractThe purpose of short-term hydropower scheduling (STHS) in a competitive electricity market is to maximize the profit in the near future while adapting to the mid-term strategies for system operation. To ensure a realistic and feasible operation for STHS, it is crucial to accurately represent the hydropower production function (HPF). The turbine efficiency can be represented by a two-dimensional table provided by the turbine manufacturers or measured by the hydropower producers on-site with some given efficiency values for a set of net water head and discharge values. In literature, the actual efficiency value for any working point is usually linearly interpolated from the given efficiency values. To the best of authors' knowledge, no study has been done so far to investigate how a nonlinear interpolation for the turbine efficiency, i.e. spline interpolation, may contribute to the application of STHS. In this paper, we compare the performance of linear interpolation and spline interpolation for turbine efficiency curves in the STHS problem and the bidding strategy in intraday market. The interpolation methods are tested on an operational hydro-power scheduling model, Short-term Hydro Optimization Program (SHOP), which is used by most large hydropower producers in the Nordic countries. Numerical tests demonstrate superior behavior of spline interpolation for the estimation of turbine efficiency between measured points. Compared to linear interpolation, spline interpolation for turbine efficiency curves gives smoother discharge transitions in day-ahead scheduling and is vital for obtaining continuous marginal cost curves in intraday trading. Based on the results in this paper, spline interpolation is a promising alternative to linear interpolation for turbine efficiency curves in STHS.nb_NO
dc.description.abstractA comparison of linear interpolation and spline interpolation for turbine efficiency curves in short-term hydropower scheduling problemsnb_NO
dc.language.isoengnb_NO
dc.publisherIoPnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA comparison of linear interpolation and spline interpolation for turbine efficiency curves in short-term hydropower scheduling problemsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.rights.holderThe Authorsnb_NO
dc.source.pagenumber042011nb_NO
dc.source.volume240nb_NO
dc.source.journalIOP Conference Series: Earth and Environmentnb_NO
dc.identifier.cristin1693531
cristin.unitcode7548,50,0,0
cristin.unitnameEnergisystemer
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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