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Market design for renewable energy auctions: An analysis of alternative auction formats

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  • Bichler, Martin
  • Grimm, Veronika
  • Kretschmer, Sandra
  • Sutterer, Paul

Abstract

Auctions are widely used to determine the remuneration for renewable energies. They typically induce a high concentration of renewable energy plants at very productive sites far-off the main load centres, leading to an inefficient allocation as transmission line capacities are restricted but not considered in the allocation, resulting in an inefficient system configuration in the long run. To counteract these tendencies effectively, we propose a combinatorial auction design that allows to implement regional target capacities, provides a simple pricing rule and maintains a high level of competition between bidders by permitting package bids. By means of extensive numerical experiments we evaluate the combinatorial auction as compared to three further RES auction designs, the current German nationwide auction design, a simple nationwide auction, and regional auctions. We find that if bidders benefit from high enough economies of scale, the combinatorial auction design implements system-optimal target capacities without increasing the average remuneration per kWh as compared to the current German auction design. The prices resulting from the combinatorial auction are linear and anonymous for each region whenever possible, while minimal personalised markups on the linear prices are applied only when necessary. We show that realistic problem sizes can be solved in seconds, even though the problem is computationally hard.

Suggested Citation

  • Bichler, Martin & Grimm, Veronika & Kretschmer, Sandra & Sutterer, Paul, 2020. "Market design for renewable energy auctions: An analysis of alternative auction formats," Energy Economics, Elsevier, vol. 92(C).
  • Handle: RePEc:eee:eneeco:v:92:y:2020:i:c:s0140988320302449
    DOI: 10.1016/j.eneco.2020.104904
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    References listed on IDEAS

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    3. Zhang, Meng & Kong, Zhaojun, 2023. "A two-phase combinatorial double auction and negotiation mechanism for socialized joint reserve mode in emergency preparedness," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    4. Tolmasquim, Maurício T. & de Barros Correia, Tiago & Addas Porto, Natália & Kruger, Wikus, 2021. "Electricity market design and renewable energy auctions: The case of Brazil," Energy Policy, Elsevier, vol. 158(C).
    5. Abhishek Ray & Mario Ventresca & Karthik Kannan, 2021. "A Graph-Based Ant Algorithm for the Winner Determination Problem in Combinatorial Auctions," Information Systems Research, INFORMS, vol. 32(4), pages 1099-1114, December.
    6. del Río, Pablo & Kiefer, Christoph P., 2023. "Academic research on renewable electricity auctions: Taking stock and looking forward," Energy Policy, Elsevier, vol. 173(C).
    7. Ehrhart, Karl-Martin & Ott, Marion & Seifert, Stefan & Wang, Runxi, 2024. "Combinatorial auctions for renewable energy — potentials and challenges," Energy Policy, Elsevier, vol. 186(C).
    8. Sheykhha, Siamak & Borggrefe, Frieder & Madlener, Reinhard, 2022. "Policy implications of spatially differentiated renewable energy promotion: A multi-level scenario analysis of onshore wind auctioning in Germany," Energy Policy, Elsevier, vol. 169(C).
    9. Mats Kröger & Karsten Neuhoff & Jörn C. Richstein, 2022. "Discriminatory Auction Design for Renewable Energy," Discussion Papers of DIW Berlin 2013, DIW Berlin, German Institute for Economic Research.
    10. Davi-Arderius, Daniel & Trujillo-Baute, Elisa & del Río, Pablo, 2023. "Grid investment and subsidy tradeoffs in renewable electricity auctions," Utilities Policy, Elsevier, vol. 84(C).
    11. Grimm, Veronika & Sölch, Christian & Zöttl, Gregor, 2022. "Emissions reduction in a second-best world: On the long-term effects of overlapping regulations," Energy Economics, Elsevier, vol. 109(C).

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