Energy Informatics
Master project by Tormod Bjelland Litlabø, 2022

Short-term hydropower scheduling at watercourses with flooding risks

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Mathematical programming models have proved to be useful tools for optimizing short-term hydropower schedules. This thesis focuses on a set of applications representing a significant challenge to the performance of such models: At watercourses where a flooding risk is present, it is essential that the model recognizes the connection between overflow and water level of the reservoirs. To that end, the current work proposes a computationally efficient mixed integer programming formulation.