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Efficient pricing for European electricity networks - The theory of nodal pricing applied to feeding-in wind in Germany

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  • Leuthold, Florian
  • Weigt, Hannes
  • von Hirschhausen, Christian

Abstract

This paper applies nodal pricing as an economic approach to efficient use of electricity networks utilization for the fairly large German grid. We combine a straightforward welfare maximization with the technical specificities of electricity flows on a realistically large network. The nodal pricing model is applied in order to analyze the impact of extended German wind power production on the power grid. The paper shows that economic modeling, taking into account physical and technical constraints, makes important contributions to the assessment and optimization of system configuration and operation.

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Bibliographic Info

Article provided by Elsevier in its journal Utilities Policy.

Volume (Year): 16 (2008)
Issue (Month): 4 (December)
Pages: 284-291

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Handle: RePEc:eee:juipol:v:16:y:2008:i:4:p:284-291

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Web page: http://www.elsevier.com/locate/inca/30478

Related research

Keywords: Electricity networks Nodal pricing Locational Marginal Pricing Welfare Wind energy;

References

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  1. Buen, Jorund, 2006. "Danish and Norwegian wind industry: The relationship between policy instruments, innovation and diffusion," Energy Policy, Elsevier, vol. 34(18), pages 3887-3897, December.
  2. J. Boucher & Y. Smeers, 2002. "Towards a common European Electricity market paths in the right direction… still far from an effective design," Competition and Regulation in Network Industries, Intersentia, vol. 3(4), pages 375-425, September.
  3. Ehrenmann, Andreas & Smeers, Yves, 2005. "Inefficiencies in European congestion management proposals," Utilities Policy, Elsevier, vol. 13(2), pages 135-152, June.
  4. Hogan, William W., 2003. "Transmission Market Design," Working Paper Series rwp03-040, Harvard University, John F. Kennedy School of Government.
  5. Brunekreeft, Gert & Neuhoff, Karsten & Newbery, David, 2005. "Electricity transmission: An overview of the current debate," Utilities Policy, Elsevier, vol. 13(2), pages 73-93, June.
  6. Richard Green, 2007. "Nodal pricing of electricity: how much does it cost to get it wrong?," Journal of Regulatory Economics, Springer, vol. 31(2), pages 125-149, April.
  7. Neuhoff, Karsten & Ehrenmann, Andreas & Butler, Lucy & Cust, Jim & Hoexter, Harriet & Keats, Kim & Kreczko, Adam & Sinden, Graham, 2008. "Space and time: Wind in an investment planning model," Energy Economics, Elsevier, vol. 30(4), pages 1990-2008, July.
  8. Perez-Arriaga, Ignacio J. & Olmos, Luis, 2005. "A plausible congestion management scheme for the internal electricity market of the European Union," Utilities Policy, Elsevier, vol. 13(2), pages 117-134, June.
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Citations

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Cited by:
  1. Egging, Ruud, 2013. "Benders Decomposition for multi-stage stochastic mixed complementarity problems – Applied to a global natural gas market model," European Journal of Operational Research, Elsevier, vol. 226(2), pages 341-353.
  2. Brandstätt, Christine & Brunekreeft, Gert & Friedrichsen, Nele, 2011. "Locational signals to reduce network investments in smart distribution grids: What works and what not?," Utilities Policy, Elsevier, vol. 19(4), pages 244-254.
  3. Luis M. Abadie & José M. Chamorro, 2011. "Valuing Expansions of the Electricity Transmission Network under Uncertainty: The Binodal Case," Energies, MDPI, Open Access Journal, vol. 4(10), pages 1696-1727, October.
  4. Holmberg, P. & Lazarczyk, E., 2012. "Congestion management in electricity networks: Nodal, zonal and discriminatory pricing," Cambridge Working Papers in Economics 1219, Faculty of Economics, University of Cambridge.
  5. Florian Leuthold & Hannes Weigt & Christian Hirschhausen, 2012. "A Large-Scale Spatial Optimization Model of the European Electricity Market," Networks and Spatial Economics, Springer, vol. 12(1), pages 75-107, March.
  6. Weigt, Hannes & Jeske, Till & Leuthold, Florian & von Hirschhausen, Christian, 2010. ""Take the long way down": Integration of large-scale North Sea wind using HVDC transmission," Energy Policy, Elsevier, vol. 38(7), pages 3164-3173, July.
  7. Burstedde, Barbara, 2012. "From Nodal to Zonal Pricing - A Bottom-Up Approach to the Second-Best," EWI Working Papers 2012-9, Energiewirtschaftliches Institut an der Universitaet zu Koeln.
  8. Heshmati, Almas, 2012. "Survey of Models on Demand, Customer Base-Line and Demand Response and Their Relationships in the Power Market," IZA Discussion Papers 6637, Institute for the Study of Labor (IZA).
  9. Löschel, Andreas & Flues, Florens & Pothen, Frank & Massier, Philipp, 2013. "Den Strommarkt an die Wirklichkeit anpassen: Skizze einer neuen Marktordnung," ZEW Discussion Papers 13-065, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  10. Karsten Neuhoff & Rodney Boyd & Thilo Grau & Julian Barquin & Francisco Echavarren & Janusz Bialek & Chris Dent & Christian von Hirschhausen & Benjamin Hobbs & Friedrich Kunz & Hannes Weigt & Christia, 2011. "Renewable Electric Energy Integration: Quantifying the Value of Design of Markets for International Transmission Capacity," Discussion Papers of DIW Berlin 1166, DIW Berlin, German Institute for Economic Research.

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