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From Nodal to Zonal Pricing - A Bottom-Up Approach to the Second-Best


  • Burstedde, Barbara

    (Energiewirtschaftliches Institut an der Universitaet zu Koeln)


Congestion management schemes have taken a prominent place in current electricity market design discussions. In this paper, the implications of establishing zonal pricing in Europe are analyzed with regard to potential zonal delimitations and associated effects on total system costs. Thereby, a nodal model sets the benchmark for efficiency and provides high-resolution input data for a cluster analysis based on Ward’s minimum variance method. The proposed zonal configurations are tested for sensitivity to the number of zones and structural changes in the electricity market. Furthermore, dispatch and redispatch costs are computed to assess the costs of electricity generation and transmission. The results highlight that suitable bidding zones are not bound to national borders and that losses in static efficiency resulting from the aggregation of nodes into zones are relatively small.

Suggested Citation

  • 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 (EWI).
  • Handle: RePEc:ris:ewikln:2012_009

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    References listed on IDEAS

    1. 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.
    2. Glenn Milligan & Martha Cooper, 1985. "An examination of procedures for determining the number of clusters in a data set," Psychometrika, Springer;The Psychometric Society, vol. 50(2), pages 159-179, June.
    3. 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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    Cited by:

    1. Karsten Neuhoff & Sophia Rüster & Sebastian Schwenen, 2015. "Power Market Design beyond 2020: Time to Revisit Key Elements?," Discussion Papers of DIW Berlin 1456, DIW Berlin, German Institute for Economic Research.
    2. Karel Janda & Jan Málek & Lukáš Rečka, 2017. "Vliv obnovitelných zdrojů na českou soustavu přenosu elektřiny [The Impact of Renewable Energy Sources on the Czech Electricity Transmission System]," Politická ekonomie, University of Economics, Prague, vol. 2017(6), pages 728-750.
    3. Felten, Björn, 2020. "An integrated model of coupled heat and power sectors for large-scale energy system analyses," Applied Energy, Elsevier, vol. 266(C).
    4. Tim Felling & Christoph Weber, 2017. "Consistent and robust delimitation of price zones under uncertainty with an application to Central Western Europe," EWL Working Papers 1706, University of Duisburg-Essen, Chair for Management Science and Energy Economics, revised Jun 2017.
    5. Neuhoff, Karsten & Wolter, Sophia & Schwenen, Sebastian, 2016. "Power markets with Renewables: New perspectives for the European Target Model," EconStor Open Access Articles, ZBW - Leibniz Information Centre for Economics, pages 3-38.
    6. Felling, Tim & Weber, Christoph, 2018. "Consistent and robust delimitation of price zones under uncertainty with an application to Central Western Europe," Energy Economics, Elsevier, vol. 75(C), pages 583-601.
    7. Syranidis, Konstantinos & Robinius, Martin & Stolten, Detlef, 2018. "Control techniques and the modeling of electrical power flow across transmission networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 3452-3467.

    More about this item


    Cluster Analysis; Electricity Market Modeling; Nodal Pricing; Redispatch; Zonal Pricing;

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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