Abstract:We present a bottom-up electricity market model for Switzerland called Swissmod. It includes a detailed electricity network and hydropower representation. Swissmod captures the features and restrictions of run-of-river, yearly storage and pumped-storage power plants and combines this with a network model of the river and water stream system to take the interdependence of hydraulically coupled hydropower plants into account. In addition, the Swiss electricity network is represented using the DC load flow approa… Show more
“…The simulation is carried out with Swissmod, a numerical representation of the Swiss electricity wholesale market (Schlecht and Weigt, 2014) following standard electricity market dispatch and network models. Swissmod is designed as a linear programming problem minimizing total generation cost under given demand conditions, although, as described below, we switch to elastic demand and welfare maximization and thus to a quadratic program for this scenario analysis.…”
Section: Swissmodmentioning
confidence: 99%
“…A detailed model description can be found in Swiss Journal of Economics and Statistics, 2015, Vol. 151 (2) Schlecht and Weigt (2014). For the analysis at hand we adjust the basic model setup by including an elastic linear demand function and consequently switch to welfare maximization instead of cost minimization (see Appendix II).…”
Section: Swissmodmentioning
confidence: 99%
“…We rely on the 2012 calibration of Swissmod as a starting point (Schlecht and Weigt, 2014). The basic representation of the Swiss transmission grid is taken from Swissgrid (2012) and adjusted using locational information from the collaborative mapping project OpenStreetMap.…”
Section: Datamentioning
confidence: 99%
“…We aggregate individual power plants of the neighboring countries to one single representative power plant per modeled neighboring country sub-region for each technology as in (Schlecht and Weigt, 2014). However, to account for the differences in efficiency within each aggregated power plant we calibrate a linear efficiency curve within each technology ranging within two standard deviations of the average efficiency.…”
Section: Datamentioning
confidence: 99%
“…We modify the original Swissmod model (Schlecht and Weigt, 2014) by assuming a linear elastic demand function rather than a fixed constant load in order to maximize welfare instead of minimizing cost.…”
. We would like to thank Sofia Lemhagen, Moritz Schillinger, Nicolas Weid mann, seminar participants at University of Basel and ETH Zurich and an anonymous referee for helpful comments and suggestions.
“…The simulation is carried out with Swissmod, a numerical representation of the Swiss electricity wholesale market (Schlecht and Weigt, 2014) following standard electricity market dispatch and network models. Swissmod is designed as a linear programming problem minimizing total generation cost under given demand conditions, although, as described below, we switch to elastic demand and welfare maximization and thus to a quadratic program for this scenario analysis.…”
Section: Swissmodmentioning
confidence: 99%
“…A detailed model description can be found in Swiss Journal of Economics and Statistics, 2015, Vol. 151 (2) Schlecht and Weigt (2014). For the analysis at hand we adjust the basic model setup by including an elastic linear demand function and consequently switch to welfare maximization instead of cost minimization (see Appendix II).…”
Section: Swissmodmentioning
confidence: 99%
“…We rely on the 2012 calibration of Swissmod as a starting point (Schlecht and Weigt, 2014). The basic representation of the Swiss transmission grid is taken from Swissgrid (2012) and adjusted using locational information from the collaborative mapping project OpenStreetMap.…”
Section: Datamentioning
confidence: 99%
“…We aggregate individual power plants of the neighboring countries to one single representative power plant per modeled neighboring country sub-region for each technology as in (Schlecht and Weigt, 2014). However, to account for the differences in efficiency within each aggregated power plant we calibrate a linear efficiency curve within each technology ranging within two standard deviations of the average efficiency.…”
Section: Datamentioning
confidence: 99%
“…We modify the original Swissmod model (Schlecht and Weigt, 2014) by assuming a linear elastic demand function rather than a fixed constant load in order to maximize welfare instead of minimizing cost.…”
. We would like to thank Sofia Lemhagen, Moritz Schillinger, Nicolas Weid mann, seminar participants at University of Basel and ETH Zurich and an anonymous referee for helpful comments and suggestions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.