NTNU ESS: Environmental Constraints in Stochastic Hydropower Scheduling for Long Planning Horizons скачать в хорошем качестве

NTNU ESS: Environmental Constraints in Stochastic Hydropower Scheduling for Long Planning Horizons

Linn Emelie Schäffer researches operational planning in power systems with a high share of hydropower. She currently works as a researcher in SINTEF Energy. Moreover, in a couple of weeks, she will defend her PhD thesis at the Department of Electric Energy. Title: Environmental Constraints in Stochastic Hydropower Scheduling for Long Planning Horizons Abstract: To mitigate the negative impacts of hydropower, environmental regulations are normally defined in the licences of hydropower plants. Accurate representation of environmental constraints in hydropower scheduling models is required to achieve efficient use of water for power generation and to make correct assessments of the operational flexibility of hydropower plants. Our work investigates the implications of environmental constraints on flexible hydropower plants in stochastic scheduling models with long planning horizons. A special emphasis is put on the modelling and evaluation of reservoir filling constraints that are formulated as reservoir-level dependent discharge limitations (soft reservoir-filling constraints), which makes the problem non-convex. Our work investigates the impacts of different type of environmental constraints on the operation of hydropower plants, the importance of including such constraints in the strategic scheduling of hydropower plants with reservoirs and, finally, the interplay between environmental constraints and reserve capacity requirements. About: NTNU Energy Systems Seminar is a new presentation series that anyone can watch online, where researchers across disciplines working on energy transition topics, with a focus on systems, markets, and techno-economic methodologies from operations research and related disciplines. ESS is co-hosted by the EMESP (IEL) and BEDØK (IØT) research groups in collaboration with the NTNU Energy Transition Initiative (NETI) and SINTEF Energy Research. #HydroCen #Hydropower #Stochastics #SINTEF #NTNU