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Congestion management in the Nordic power market - counter purchases and zonal pricing

Author

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  • M. Bjørndal
  • K. Jørnsten
  • V. Pignon

Abstract

In this paper, we investigate methods for managing congestion on the grid in the Nordic power market. Specifically, we have considered the differences between using counter purchases as opposed to pricing out the transmission constraints of the grid. We show that the specific method used for congestion management greatly affects prices and therefore the surplus of the various agents, including the system operator. This means that the market agents may have preferences for one method, and take actions in order to influence which method is to be used. Based on this, we have studied the incentives and possibilities of “moving†capacity constraints, and the effect this has on system performance. We have also looked into the differences between various pricing schemes, i.e. optimal nodal prices versus optimal zonal prices. The effects that are demonstrated by the examples in this paper are especially relevant when designing coordination mechanisms and regulation for integrated markets, like the (emerging) European electricity market.

Suggested Citation

  • M. Bjørndal & K. Jørnsten & V. Pignon, 2003. "Congestion management in the Nordic power market - counter purchases and zonal pricing," Competition and Regulation in Network Industries, Intersentia, vol. 4(3), pages 271-293, September.
    • Handle: RePEc:sen:journl:v:4:i:3:y:2003:p:271-293
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    Citations

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    Cited by:

    1. Dijk, Justin & Willems, Bert, 2011. "The effect of counter-trading on competition in electricity markets," Energy Policy, Elsevier, vol. 39(3), pages 1764-1773, March.
    2. Egerer, Jonas & Weibezahn, Jens & Hermann, Hauke, 2016. "Two price zones for the German electricity market — Market implications and distributional effects," Energy Economics, Elsevier, vol. 59(C), pages 365-381.
    3. Felten, Björn & Osinski, Paul & Felling, Tim & Weber, Christoph, 2021. "The flow-based market coupling domain - Why we can't get it right," Utilities Policy, Elsevier, vol. 70(C).
    4. Holmberg, Pär & Tangerås, Thomas & Ahlqvist, Victor, 2018. "Central- versus Self-Dispatch in Electricity Markets," Working Paper Series 1257, Research Institute of Industrial Economics, revised 27 Mar 2019.
    5. Friedrich Kunz, 2013. "Improving Congestion Management: How to Facilitate the Integration of Renewable Generation in Germany," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    6. Jahns, Christopher & Stein, Tobias & Höckner, Jonas & Weber, Christoph, 2023. "Prevention of strategic behaviour in local flexibility markets using market monitoring – Concept, application example and limitations," Energy Policy, Elsevier, vol. 174(C).
    7. Sarfati, M. & Hesamzadeh, M-R. & Holmberg, P., 2019. "Production efficiency of nodal and zonal pricing in imperfectly competitive electricity markets," Cambridge Working Papers in Economics 1919, Faculty of Economics, University of Cambridge.
    8. Stamtsis, Georgios C. & Bjørndal, Mette & Erlich, István & Jörnsten, Kurt, 2004. "Assessment of the Norwegian Transmission Pricing Rules by Using a Modified AC-OPF," Discussion Papers 2004/8, Norwegian School of Economics, Department of Business and Management Science.
    9. Martin Weibelzahl & Alexandra Märtz, 2020. "Optimal storage and transmission investments in a bilevel electricity market model," Annals of Operations Research, Springer, vol. 287(2), pages 911-940, April.
    10. Hesamzadeh, Mohammad Reza & Holmberg, Pär & Sarfati, Mahir, 2018. "Simulation and Evaluation of Zonal Electricity Market Designs," Working Paper Series 1211, Research Institute of Industrial Economics.
    11. Höckner, Jonas & Voswinkel, Simon & Weber, Christoph, 2020. "Market distortions in flexibility markets caused by renewable subsidies – The case for side payments," Energy Policy, Elsevier, vol. 137(C).
    12. Glachant, Jean-Michel & Pignon, Virginie, 2005. "Nordic congestion's arrangement as a model for Europe? Physical constraints vs. economic incentives," Utilities Policy, Elsevier, vol. 13(2), pages 153-162, June.
    13. Pär Holmberg and Ewa Lazarczyk, 2015. "Comparison of congestion management techniques: Nodal, zonal and discriminatory pricing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    14. Karhinen, Santtu & Huuki, Hannu, 2020. "How are the long distances between renewable energy sources and load centres reflected in locational marginal prices?," Energy, Elsevier, vol. 210(C).
    15. Jonas Egerer & Jens Weibezahn & Hauke Hermann, 2015. "Two Price Zones for the German Electricity Market: Market Implications and Distributional Effects," Discussion Papers of DIW Berlin 1451, DIW Berlin, German Institute for Economic Research.
    16. Bjørndal, Endre & Bjørndal, Mette Helene & Coniglio, Stefano & Körner, Marc-Fabian & Leinauer, Christina & Weibelzahl, Martin, 2023. "Energy storage operation and electricity market design: On the market power of monopolistic storage operators," European Journal of Operational Research, Elsevier, vol. 307(2), pages 887-909.
    17. Martin Palovic, 2022. "Coordination of power network operators as a game-theoretical problem," Bremen Energy Working Papers 0040, Bremen Energy Research.
    18. Heffron, Raphael J. & Körner, Marc-Fabian & Sumarno, Theresia & Wagner, Jonathan & Weibelzahl, Martin & Fridgen, Gilbert, 2022. "How different electricity pricing systems affect the energy trilemma: Assessing Indonesia's electricity market transition," Energy Economics, Elsevier, vol. 107(C).
    19. Fridgen, Gilbert & Michaelis, Anne & Rinck, Maximilian & Schöpf, Michael & Weibelzahl, Martin, 2020. "The search for the perfect match: Aligning power-trading products to the energy transition," Energy Policy, Elsevier, vol. 144(C).
    20. Weibelzahl, Martin & Märtz, Alexandra, 2018. "On the effects of storage facilities on optimal zonal pricing in electricity markets," Energy Policy, Elsevier, vol. 113(C), pages 778-794.

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