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Market Power Under Nodal and Zonal Congestion Management Techniques

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)

  • Rud, Linda

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

  • Alangi, Somayeh Rahimi

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

Abstract
Contrary to the common thought that nodal pricing provides more opportunities for a strategic player to exert market power than the zonal model, we show that in the latter one because of the need for re-dispatch or counter-trading, another extra place is created letting more gaming possibilities. Therefore, if proper market power mitigation approaches are not utilized in both day-ahead and re-dispatch markets, then zonal pricing may be more susceptible to market power, especially in zonal model which is based on available transfer capacity (ATC), strategic player's profit and social welfare can be very volatile. In general, the more network constraints are incorporated in day-ahead market (100% in nodal and almost zero in ATC), the more social welfare is attainable. Hence, nodal model is acquitted from the more market power denunciation.

Suggested Citation

  • Bjørndal, Endre & Bjørndal, Mette & Rud, Linda & Alangi, Somayeh Rahimi, 2017. "Market Power Under Nodal and Zonal Congestion Management Techniques," Discussion Papers 2017/14, Norwegian School of Economics, Department of Business and Management Science.
    • Handle: RePEc:hhs:nhhfms:2017_014
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    File URL: http://hdl.handle.net/11250/2464570
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    References listed on IDEAS

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    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. van Blijswijk, Martti J. & de Vries, Laurens J., 2012. "Evaluating congestion management in the Dutch electricity transmission grid," Energy Policy, Elsevier, vol. 51(C), pages 916-926.
    3. 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).
    4. Bjorndal, Mette & Jornsten, Kurt, 2007. "Benefits from coordinating congestion management--The Nordic power market," Energy Policy, Elsevier, vol. 35(3), pages 1978-1991, March.
    5. 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).
    6. OGGIONI, Giorgia & SMEERS, Yves, 2013. "Market failures of market coupling and counter-trading in Europe: an illustrative model based discussion," LIDAM Reprints CORE 2553, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Bjørndal, Endre & Bjørndal, Mette & Midthun, Kjetil & Zakeri, Golbon, 2016. "Congestion Management in a Stochastic Dispatch Model for Electricity Markets," Discussion Papers 2016/12, Norwegian School of Economics, Department of Business and Management Science.
    8. Vincent Rious & Jean-Michel Glachant & Marcelo Saguan & Philippe Dessante & Julio Usaola, 2008. "Assessing Available Transfer Capacity on a Realistic European Network: Impact of Assumptions on Cross-border Exchanges and on Wind Power Generation," Post-Print hal-00324664, HAL.
    9. 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).
    10. Giorgia Oggioni & Yves Smeers & Elisabetta Allevi & Siegfried Schaible, 2012. "A Generalized Nash Equilibrium Model of Market Coupling in the European Power System," Networks and Spatial Economics, Springer, vol. 12(4), pages 503-560, December.
    11. Morales, Juan M. & Zugno, Marco & Pineda, Salvador & Pinson, Pierre, 2014. "Electricity market clearing with improved scheduling of stochastic production," European Journal of Operational Research, Elsevier, vol. 235(3), pages 765-774.
    12. R.A. Hakvoort & L.J. De Vries, 2002. "An economic assessment of congestion management methods for electricity transmission networks," Competition and Regulation in Network Industries, Intersentia, vol. 3(4), pages 425-467, September.
    13. Mette Bjorndal & Kurt Jornsten, 2001. "Zonal Pricing in a Deregulated Electricity Market," The Energy Journal, , vol. 22(1), pages 51-73, January.
    14. Ignacio Aravena & Anthony Papavasiliou, 2017. "Renewable energy integration in zonal markets," LIDAM Reprints CORE 2932, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. Vincent Rious & Julio Usaola & Marcelo Saguan & Jean-Michel Glachant & Philippe Dessante, 2008. "Assessing Available Transfer Capacity on a Realistic European Network: Impact of Assumptions on Wind Power Generation," Post-Print hal-00338749, HAL.
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    Cited by:

    1. Bucksteeg, Michael & Voswinkel, Simon & Blumberg, Gerald, 2024. "Improving flow-based market coupling by integrating redispatch potential―Evidence from a large-scale model," Energy Policy, Elsevier, vol. 188(C).
    2. 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.

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    More about this item

    Keywords

    Market design; congestion management; available transfer capacity (ATC); market power; exibility cost of re-dispatch or counter-trading;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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