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Strategic bidding of wind power producers in electricity markets in presence of information sharing

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  • Kenis, Michiel
  • Höschle, Hanspeter
  • Bruninx, Kenneth

Abstract

In order to facilitate the growing share of Renewable Energy Sources (RES) in power systems around the world, a cost-effective integration of RES into the electricity market is essential. In addition to numerous technical challenges, the integration of RES-based generation creates some market design challenges. For example, monitoring market power abuse by RES-based electricity generation companies may be not straightforward, given the variable and limitedly predictable availability of these resources, not known by the regulator. In this context, this paper investigates the impact of sharing wind power forecasts among market participants on wind power producers’ (WPPs’) bidding behaviour. An analytical model that captures the strategic price-making behaviour of competing WPPs on the day-ahead electricity market is provided. A best response function is provided, showing the strategic quantity bid of a price-making WPP in function of the bids of other market participants. Subsequently, a ‘multiple leaders-common market clearing’ problem is formulated as a Nash game between the strategic WPPs. Last, we allow WPPs to make their individual wind power forecasts available to their competing WPPs. When all price-making market participants possess the forecasts of each WPP, all strategic agents estimate the market outcome correctly. On the contrary, with minimal information sharing, the price-making WPPs use an assumption on the behaviour of the other WPPs in the strategic determination of their quantity bids. Sharing information on individual forecasts may lead to a higher or lower wind power participation into the day-ahead market, profits for WPPs and social welfare. On the one hand, systems in which all the WPPs would bid above their mean forecast lead to a lower wind power participation when sharing individual forecasts among WPPs, hence, a lower social welfare. Additionally, the profits for WPPs increase. On the other hand, a higher wind power participation is realised when sharing forecasts for systems in which all WPPs bid below their mean forecast, hence a higher social welfare and lower WPP profits. These insights are useful for policy makers and regulators in order to ensure transparent and competitive electricity markets.

Suggested Citation

  • Kenis, Michiel & Höschle, Hanspeter & Bruninx, Kenneth, 2022. "Strategic bidding of wind power producers in electricity markets in presence of information sharing," Energy Economics, Elsevier, vol. 110(C).
    • Handle: RePEc:eee:eneeco:v:110:y:2022:i:c:s0140988322002055
    DOI: 10.1016/j.eneco.2022.106036
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    References listed on IDEAS

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    1. Steven A. Gabriel & Antonio J. Conejo & J. David Fuller & Benjamin F. Hobbs & Carlos Ruiz, 2013. "Complementarity Modeling in Energy Markets," International Series in Operations Research and Management Science, Springer, edition 127, number 978-1-4419-6123-5, December.
    2. Gunnar Luderer & Robert C. Pietzcker & Samuel Carrara & Harmen-Sytze de Boer & Shinichiro Fujimori & Nils Johnson & Silvana Mima & Douglas Arent, 2017. "Assessment of wind and solar power in global low-carbon energy scenarios: An introduction," Post-Print hal-01515408, HAL.
    3. Luderer, Gunnar & Pietzcker, Robert C. & Carrara, Samuel & de Boer, Harmen Sytze & Fujimori, Shinichiro & Johnson, Nils & Mima, Silvana & Arent, Douglas, 2017. "Assessment of wind and solar power in global low-carbon energy scenarios: An introduction," Energy Economics, Elsevier, vol. 64(C), pages 542-551.
    4. Exizidis, Lazaros & Kazempour, S. Jalal & Pinson, Pierre & de Greve, Zacharie & Vallée, François, 2016. "Sharing wind power forecasts in electricity markets: A numerical analysis," Applied Energy, Elsevier, vol. 176(C), pages 65-73.
    5. Bergler, Julian & Heim, Sven & Hüschelrath, Kai, 2017. "Strategic capacity withholding through failures in the German-Austrian electricity market," Energy Policy, Elsevier, vol. 102(C), pages 210-221.
    6. Hirth, Lion, 2013. "The market value of variable renewables," Energy Economics, Elsevier, vol. 38(C), pages 218-236.
    7. Sioshansi, Ramteen, 2014. "When energy storage reduces social welfare," Energy Economics, Elsevier, vol. 41(C), pages 106-116.
    8. Huppmann, Daniel & Egerer, Jonas, 2015. "National-strategic investment in European power transmission capacity," European Journal of Operational Research, Elsevier, vol. 247(1), pages 191-203.
    9. De Vivero-Serrano, Gustavo & Bruninx, Kenneth & Delarue, Erik, 2019. "Implications of bid structures on the offering strategies of merchant energy storage systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    10. Lion Hirth, 2013. "The Market Value of Variable Renewables. The Effect of Solar and Wind Power Variability on their Relative Price," RSCAS Working Papers 2013/36, European University Institute.
    11. Jónsson, Tryggvi & Pinson, Pierre & Madsen, Henrik, 2010. "On the market impact of wind energy forecasts," Energy Economics, Elsevier, vol. 32(2), pages 313-320, March.
    12. Li, Shaomao & Park, Chan S., 2018. "Wind power bidding strategy in the short-term electricity market," Energy Economics, Elsevier, vol. 75(C), pages 336-344.
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    More about this item

    Keywords

    Power markets; Wind energy; Forecast uncertainty; Wind forecasting; Information sharing;
    All these keywords.

    JEL classification:

    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • P18 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Energy; Environment
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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