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Nodal Pricing in a Coupled Electricity Market

Author

Listed:
  • Bjørndal, Endre

    (Dept. of Business and Management Science, Norwegian School of Economics)

  • Bjørndal, Mette

    (Dept. of Business and Management Science, Norwegian School of Economics)

  • Cai, Hong

    (Dept. of Business and Management Science, Norwegian School of Economics)

Abstract

This paper investigates a pricing model for an electricity market with a hybrid congestion management method, i.e. part of the system applies a nodal pricing scheme and the rest applies a zonal pricing scheme. The model clears the zonal and nodal pricing areas simultaneously. The nodal pricing area is affected by the changes in the zonal pricing area since it is directly connected to the zonal pricing area by commercial trading. The model is tested on a 13-node power system. Within the area that is applying nodal pricing, prices and surpluses given by the hybrid pricing model match well with those given by the full nodal pricing model. Part of the network is better utilized compared to the solutions given by the full zonal pricing model. However, the prices given by the hybrid system may send wrong economic signals which triggers unnecessary generation from existing capacities, exacerbates grid congestion, and induces higher re-dispatching costs.

Suggested Citation

  • Bjørndal, Endre & Bjørndal, Mette & Cai, Hong, 2014. "Nodal Pricing in a Coupled Electricity Market," Discussion Papers 2014/27, Norwegian School of Economics, Department of Business and Management Science.
    • Handle: RePEc:hhs:nhhfms:2014_027
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    File URL: http://hdl.handle.net/11250/217641
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    Citations

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    Cited by:

    1. Bjørndal, Endre & Bjørndal, Mette & Cai, Hong & Panos, Evangelos, 2018. "Hybrid pricing in a coupled European power market with more wind power," European Journal of Operational Research, Elsevier, vol. 264(3), pages 919-931.
    2. Debia, Sébastien & Pineau, Pierre-Olivier & Siddiqui, Afzal S., 2021. "Strategic storage use in a hydro-thermal power system with carbon constraints," Energy Economics, Elsevier, vol. 98(C).
    3. 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.
    4. Forero-Quintero, Jose-Fernando & Villafáfila-Robles, Roberto & Barja-Martinez, Sara & Munné-Collado, Ingrid & Olivella-Rosell, Pol & Montesinos-Miracle, Daniel, 2022. "Profitability analysis on demand-side flexibility: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    5. Ländner, Eva-Maria & Märtz, Alexandra & Schöpf, Michael & Weibelzahl, Martin, 2019. "From energy legislation to investment determination: Shaping future electricity markets with different flexibility options," Energy Policy, Elsevier, vol. 129(C), pages 1100-1110.
    6. Bucksteeg, Michael & Voswinkel, Simon & Blumberg, Gerald, 2023. "Improving flow-based market coupling by integrating redispatch potential - Evidence from a large-scale model," EconStor Preprints 270878, ZBW - Leibniz Information Centre for Economics.
    7. Gore, Olga & Vanadzina, Evgenia & Viljainen, Satu, 2016. "Linking the energy-only market and the energy-plus-capacity market," Utilities Policy, Elsevier, vol. 38(C), pages 52-61.
    8. 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.

    More about this item

    Keywords

    Congestion Management; Nodal Pricing; Zonal Pricing; Electricity Market;
    All these keywords.

    JEL classification:

    • Q00 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - General

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