Skjelbred, Hans Ivar
Works: | 5 works in 5 publications in 1 language and 7 library holdings |
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Roles: | Other |
Classifications: | HD30.23, 330 |
1 edition published in 2017 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 2019 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 2016 in English and held by 1 WorldCat member library worldwide
Abstract: When 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
1 edition published in 2016 in English and held by 1 WorldCat member library worldwide
Abstract: In this paper we compare several methods used by hydropower producers for the determination of bids to the day-ahead market. The methods currently used by the hydropower industry are based on heuristics and expert assessments, but we also include a new method for formal optimization of the bid decisions in our study. The optimization of bids is based on stochastic programming with explicit mathematical representation of the bid decisions, which none of the heuristic methods accommodate. We illustrate the potential benefit from using increasingly complex bidding methods in a case study representing real operating conditions for a hydropower producer on three specific dates
1 edition published in 2016 in English and held by 1 WorldCat member library worldwide
Abstract: We present initial results and description of a method for coupling long term hydro scheduling models to short term hydro schedul- ing models. The method is based on an established approach but extends on the principle to increase the available information of the future estimates provided by the long term model
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