Open Source Electricity Model for Germany (ELMOD-DE)

This data documentation introduces to nodal dispatch models and the literature of the ELMOD model framework, which focuses on bottom-up electricity sector models with detailed spatial representation of the transmission system. The paper provides the technical description of ELMOD-DE, a nodal DC load flow model for the German electricity sector. In alignment with this paper, the described model, including its GAMS code and dataset, is made publicly available as open source model on the website of the DIW Berlin. The dataset uses publicly accessible data sources and includes hourly system data for the German electricity sector of the year 2012. The data documentation also illustrates the variety of insights into the German electricity system, ELMOD-DE provides on nodal level, with examples for hourly nodal system states and aggregated results.

[1]  Alexander Zerrahn,et al.  Benefits of coordinating congestion management in electricity transmission networks: Theory and application to Germany , 2015 .

[2]  Roman Mendelevitch,et al.  The impact of policy measures on future power generation portfolio and infrastructure: a combined electricity and CCTS investment and dispatch model (ELCO) , 2015 .

[3]  W. Schill,et al.  Power System Transformation toward Renewables: An Evaluation of Regulatory Approaches for Network Expansion , 2015 .

[4]  Friedrich Kunz,et al.  Integrating Intermittent Renewable Wind Generation - A Stochastic Multi-Market Electricity Model for the European Electricity Market , 2015 .

[5]  Jonas Egerer,et al.  Two Price Zones for the German Electricity Market: Market Implications and Distributional Effects , 2015 .

[6]  W. Schill,et al.  Testing regulatory regimes for power transmission expansion with fluctuating demand and wind generation , 2015 .

[7]  Hannes Weigt,et al.  Linking Europe: The Role of the Swiss Electricity Transmission Grid until 2050 , 2014 .

[8]  Alexander Weber,et al.  Is There Still a Case for Merchant Interconnectors? Insights from an Analysis of Welfare and Distributional Aspects of Options for Network Expansion in the Baltic Sea Region , 2014 .

[9]  Casimir Lorenz,et al.  New Cross-Border Electricity Balancing Arrangements in Europe , 2014 .

[10]  Hannes Weigt,et al.  Swissmod - A Model of the Swiss Electricity Market , 2014 .

[11]  Wolf-Peter Schill,et al.  Power System Transformation Toward Renewables: Investment Scenarios for Germany , 2014 .

[12]  Friedrich Kunz and Hannes Weigt Germanys Nuclear Phase Out - A Survey of the Impact since 2011 and Outlook to 2023 , 2014 .

[13]  Jonas Egerer,et al.  The flexibility of hydroelectric reservoir and pumped storage generation — Application to Switzerland , 2014, 11th International Conference on the European Energy Market (EEM14).

[14]  Daniel Huppmann,et al.  National-Strategic Investment in European Power Transmission Capacity , 2014, Eur. J. Oper. Res..

[15]  L. Söder,et al.  A description of the operative decision-making process of a power generating company on the Nordic electricity market , 2014 .

[16]  Andreas Schroeder,et al.  The integration of renewable energies into the German transmission grid—A scenario comparison , 2013 .

[17]  H. Weigt,et al.  Combining Energy Networks: The Impact of Europe's Natural Gas Network on Electricity Markets Until 2050 , 2013 .

[18]  Janusz W. Bialek,et al.  Updated and validated power flow model of the main continental European transmission network , 2013, 2013 IEEE Grenoble Conference.

[19]  Casimir Lorenz,et al.  European Electricity Grid Infrastructure Expansion in a 2050 Context , 2013, 2013 10th International Conference on the European Energy Market (EEM).

[20]  Friedrich Kunz,et al.  Development Scenarios for the North and Baltic Sea Grid: A Welfare Economic Analysis , 2012 .

[21]  Christian von Hirschhausen,et al.  A Large-Scale Spatial Optimization Model of the European Electricity Market , 2012 .

[22]  Christoph Weber,et al.  Renewable Electric Energy Integration: Quantifying the Value of Design of Markets for International Transmission Capacity , 2011 .

[23]  F. Kunz Improving Congestion Management: How to Facilitate the Integration of Renewable Generation in Germany , 2011 .

[24]  Christian von Hirschhausen,et al.  “Take the long way down”: Integration of large-scale North Sea wind using HVDC transmission , 2010 .

[25]  H. Weigt,et al.  A Dynamic Incentive Mechanism for Transmission Expansion in Electricity Networks: Theory, Modeling, and Application , 2010 .

[26]  Kristin Dietrich,et al.  Will the Market Get it Right? The Placing of New Power Plants in Germany , 2009, 2009 6th International Conference on the European Energy Market.

[27]  Christian von Hirschhausen,et al.  Efficient pricing for European electricity networks - The theory of nodal pricing applied to feeding-in wind in Germany , 2008 .

[28]  J.W. Bialek,et al.  Approximate model of European interconnected system as a benchmark system to study effects of cross-border trades , 2005, IEEE Transactions on Power Systems.

[29]  Thomas J. Overbye,et al.  A comparison of the AC and DC power flow models for LMP calculations , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[30]  F. Kunz,et al.  Electricity Sector Data for Policy-Relevant Modeling: Data Documentation and Applications to the German and European Electricity Markets , 2014 .

[31]  Jonas Egerer,et al.  Regional versus bilateral cost sharing in electricity transmission expansion , 2013 .

[32]  Steven A. Gabriel,et al.  Solving discretely-constrained MPEC problems with applications in electric power markets , 2010 .

[33]  C. Todem Methoden und Instrumente zur gesamtsystemischen Analyse und Optimierung konkreter Problemstellungen im liberalisierten Elektrizitätsmarkt , 2004 .