Blar i SINTEF Open på forfatter "Korpås, Magnus"
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Profitability of a Hydro Power Producer Bidding in Multiple Power Markets
Rasmussen, Caroline; Hansen, Jakob Boye; Korpås, Magnus; Fodstad, Marte (Journal article; Peer reviewed, 2016)The production scheduling of a hydro power producer exposed to the day-ahead, balancing and capacity market is examined to find what profit the producer may achieve by strategically bid in the above mentioned markets. ... -
Roadmap for large-scale balancing and energy storage from Norwegian hydropower : opportunities, challanges and needs until 2050
Charmasson, Julie; Belsnes, Michael; Eloranta, Antti; Graabak, Ingeborg; Korpås, Magnus; Helland, Ingeborg Palm; Wolfgang, Ove; Andersen, Oddgeir; Sundt, Håkon (Report, 2018-08) -
Smoothing of Offshore Wind Power Variations with Norwegian Pumped Hydro: Case Study
Destro, Nicola; Korpås, Magnus; Sauterleute, Julian Friedrich (Journal article; Peer reviewed, 2016)The solar and wind energy production in the European countries has been growing in the last years and the need of energy storage too. One of the most competitive technologies already available for large-scale balancing is ... -
A stochastic dynamic programming model for hydropower scheduling with state-dependent maximum discharge constraints
Schäffer, Linn Emelie; Helseth, Arild; Korpås, Magnus (Peer reviewed; Journal article, 2022)We present a medium-term hydropower scheduling model that includes inflow- and volume-dependent environmental constraints on maximum discharge. A stochastic dynamic programming algorithm (SDP) is formulated to enable an ... -
Stochastic Load Modeling of High-Power Electric Vehicle Charging - A Norwegian Case Study
Ivarsøy, Eirik; Torsæter, Bendik Nybakk; Korpås, Magnus (Chapter; Peer reviewed, 2020)In recent years, the number of electric vehicles (EVs) has increased rapidly. Due to technological advancement, government policies and the focus on reducing greenhouse gas emission, the growth can be expected to continue. ... -
Stochastic operation of energy constrained microgrids considering battery degradation
Aaslid, Per; Korpås, Magnus; Belsnes, Michael Martin; Fosso, Olav B (Peer reviewed; Journal article, 2022)Power systems with high penetration of variable renewable generation are vulnerable to periods with low generation. An alternative to retain high dispatchable generation capacity is electric energy storage that enables ... -
A stochastic operational planning model for a zero emission building with emission compensation
Thorvaldsen, Kasper Emil; Korpås, Magnus; Lindberg, Karen Byskov; Farahmand, Hossein (Peer reviewed; Journal article, 2021)The primary objective of Zero Emission Buildings (ZEBs) is to achieve net zero emission over the buildings’ lifetime. To achieve this goal, accurate cost-effective emission compensation is needed during the operational ... -
Stochastic Optimization of Microgrid Operation With Renewable Generation and Energy Storages
Aaslid, Per; Korpås, Magnus; Belsnes, Michael Martin; Fosso, Olav B (Peer reviewed; Journal article, 2022)The operation of energy storage systems (ESSs) in power systems where variable renewable energy sources (VRESs) and ESSs must contribute to securing the supply, can be considered as an arbitrage against scarcity. The value ... -
A supervised learning approach for optimal selection of bidding strategies in reservoir hydro
Riddervold, Hans Ole; Riemer-Sørensen, Signe; Szederjesi, Peter; Korpås, Magnus (Peer reviewed; Journal article, 2020)Power producers use a wide range of decision support systems to manage and plan for sales in the day-ahead electricity market. The available tools have advantages and disadvantages and the operators are often faced with ... -
A supervised learning approach for optimal selection of bidding strategies in reservoir hydro
Riddervold, Hans Ole; Riemer-Sørensen, Signe; Szederjesi, Peter; Korpås, Magnus (Peer reviewed; Journal article, 2020)Power producers use a wide range of decision support systems to manage and plan for sales in the day-ahead electricity market. The available tools have advantages and disadvantages and the operators are often faced with ... -
System impact studies for near 100% renewable energy systems dominated by inverter based variable generation
Holttinen, Hannele; Kiviluoma, Juha; Flynn, Damian; Smith, Charles; Orths, Antje; Eriksen, Peter Børre; Cutululis, Nicolaos Antonio; Söder, Lennart; Korpås, Magnus; Estanqueiro, Ana; MacDowell, Jason; Tuohy, Aidan; Vrana, Til Kristian; O'Malley, Mark (Peer reviewed; Journal article, 2020)The demand for low carbon energy calls for close to 100% renewable power systems, with decarbonization of other energy sectors adding to the anticipated paradigm shift. Rising levels of variable inverter-based renewable ... -
Task 16.2.2 Hydro Potential and Barriers
Graabak, Ingeborg; Catrinu, Maria Daniela; Korpås, Magnus (Report, 2012-01-23) -
Validation study of an approximate 2014 European power-flow model using PowerGAMA
Lie, Arne Øvrebø; Rye, Eirik Andre; Svendsen, Harald Georg; Farahmand, Hossein; Korpås, Magnus (Journal article; Peer reviewed, 2017)This study presents a validation study of an approximated model of the European power system in 2014. A lightweight and open-source power-flow tool is used for this study. The tool and the model are publicly available and ... -
Valuation of stored energy in dynamic optimal power flow of distribution systems with energy storage
Sperstad, Iver Bakken; Helseth, Arild; Korpås, Magnus (Chapter, 2016)Dynamic optimal power flow (DOPF) models are needed to optimize the operation of a power system with energy storage systems (ESSs) over an extended planning horizon. The optimal storage level at the end of each planning ... -
Zero Emission Neighbourhoods in the European Energy System
Backe, Stian; Pinel, Dimitri; Askeland, Magnus; Lindberg, Karen Byskov; Korpås, Magnus; Tomasgard, Asgeir (ZEN Report;30, Research report, 2021)Implications of linking local and international emission targets. Political ambitions to mitigate climate change are driving the transformation of energy systems. These ambitions imply that greenhouse gas (GHG) emissions ...