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dc.contributor.authorDorn, Frederic
dc.contributor.authorFarahmand, Hossein
dc.contributor.authorSkjelbred, Hans Ivar
dc.contributor.authorBelsnes, Michael Martin
dc.identifier.citationEnergy Procedia 2016, 87:69-76nb_NO
dc.description.abstractWhen planning the production for certain hydropower plants, minimum pressure is one of the major critical points. Violation of the minimum pressure causes the power plant to automatically shut down, hence violating the obligations of the plant. Automatic pressure switches and pressure constraints are difficult to model in particular when embedded in a complex water way. This problem is expected to increase when retrofitting hydro installations with new parallel units and increased exploitation of inflow resources. From a scheduling point of view, however, such switches become hard to integrate in an optimal operation plan as the constraint depends on the system state. This paper introduces a novelty in short-term production planning, namely a solution for modelling minimum pressure height in regulated watercourses when optimizing the energy production of hydropower plants. This solution is integrated in the short-term hydropower scheduling tool SHOP. The tool finds an optimal strategy to run a power station with such minimum pressure restrictions and the state dependent topological couplings within the water system. We apply the model on a complex topology, the Sira-Kvina water system, where Norway's largest hydropower station Tonstad Kraftstajon is operationally subject to this rigorous pressure constraint. First, in order to illustrate the concepts of the model, we apply the model on a simplified water course including one reservoir. Next, the outcome and tests are demonstrated on the final model of two reservoirs whose respective outflows are joining together above the pressure gauge, as found in the Sira-Kvina water system.nb_NO
dc.rightsNavngivelse-Ikkekommersiell-IngenBearbeidelse 3.0 Norge*
dc.titleModelling Minimum Pressure Height in Short-term Hydropower Production Planningnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO

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Navngivelse-Ikkekommersiell-IngenBearbeidelse 3.0 Norge
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