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Renewable electric energy integration: Quantifying the value of design of markets for international transmission capacity

Author

Listed:
  • Neuhoff, Karsten
  • Barquin, Julian
  • Bialek, Janusz W.
  • Boyd, Rodney
  • Dent, Chris J.
  • Echavarren, Francisco
  • Grau, Thilo
  • von Hirschhausen, Christian
  • Hobbs, Benjamin F.
  • Kunz, Friedrich
  • Nabe, Christian
  • Papaefthymiou, Georgios
  • Weber, Christoph
  • Weigt, Hannes

Abstract

Integrating large quantities of variable renewable electricity generation remains a political and operational challenge. One of the main obstacles in Europe to installing at least 200 GWs of power from variable renewable sources is how to deal with the insufficient network capacity and the congestion that will result from new flow patterns. We model the current methodology for controlling congestion at international borders and compare its results, under varying penetrations of wind power, with models that simulate an integrated European network using nodal/localised marginal pricing. The nodal pricing simulations illustrate that congestion and price patterns vary considerably between wind scenarios and within countries, and that a nodal price regime could make better use of existing network capacity, introducing substantial operational cost savings and reducing marginal power prices in the majority of European countries.

Suggested Citation

  • Neuhoff, Karsten & Barquin, Julian & Bialek, Janusz W. & Boyd, Rodney & Dent, Chris J. & Echavarren, Francisco & Grau, Thilo & von Hirschhausen, Christian & Hobbs, Benjamin F. & Kunz, Friedrich & Nabe, 2013. "Renewable electric energy integration: Quantifying the value of design of markets for international transmission capacity," Energy Economics, Elsevier, vol. 40(C), pages 760-772.
  • Handle: RePEc:eee:eneeco:v:40:y:2013:i:c:p:760-772
    DOI: 10.1016/j.eneco.2013.09.004
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    References listed on IDEAS

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    1. O'Neill, Richard P. & Sotkiewicz, Paul M. & Hobbs, Benjamin F. & Rothkopf, Michael H. & Stewart, William R., 2005. "Efficient market-clearing prices in markets with nonconvexities," European Journal of Operational Research, Elsevier, vol. 164(1), pages 269-285, July.
    2. Hogan, William W, 1992. "Contract Networks for Electric Power Transmission," Journal of Regulatory Economics, Springer, vol. 4(3), pages 211-242, September.
    3. 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.
    4. Adriaan Weijde & Benjamin Hobbs, 2011. "Locational-based coupling of electricity markets: benefits from coordinating unit commitment and balancing markets," Journal of Regulatory Economics, Springer, vol. 39(3), pages 223-251, June.
    5. Giorgia Oggioni and Yves Smeers, 2012. "Degrees of Coordination in Market Coupling and Counter-Trading," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    6. Leuthold, Florian & Weigt, Hannes & von Hirschhausen, Christian, 2008. "Efficient pricing for European electricity networks - The theory of nodal pricing applied to feeding-in wind in Germany," Utilities Policy, Elsevier, vol. 16(4), pages 284-291, December.
    7. Ehrenmann, Andreas & Smeers, Yves, 2005. "Inefficiencies in European congestion management proposals," Utilities Policy, Elsevier, vol. 13(2), pages 135-152, June.
    8. 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.
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    More about this item

    Keywords

    Power market design; Renewable power integration; Congestion management; Transmission economics;

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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