IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v95y2021ics0140988321000311.html
   My bibliography  Save this article

Strategic bidding via the interplay of minimum income condition orders in day-ahead power exchanges

Author

Listed:
  • Csercsik, Dávid

Abstract

In this paper, we study the so-called minimum income condition order, which is used in some day-ahead electricity power exchanges to represent the production-related costs of generating units. This order belongs to the family of complex orders, which introduce non-convexities in the market clearing problem. We demonstrate via simple numerical examples that if more of such bids are present in the market, their interplay may open the possibility of strategic bidding. More precisely, we show that by the manipulation of bid parameters, a strategic player may increase its own profit and potentially induce the deactivation of an other minimum income condition order, which would be accepted under truthful bidding. Furthermore, we show that if we modify the objective function used in the market clearing according to principles suggested in the literature, it is possible to prevent the possibility of such strategic bidding, but the modification raises other issues.

Suggested Citation

  • Csercsik, Dávid, 2021. "Strategic bidding via the interplay of minimum income condition orders in day-ahead power exchanges," Energy Economics, Elsevier, vol. 95(C).
  • Handle: RePEc:eee:eneeco:v:95:y:2021:i:c:s0140988321000311
    DOI: 10.1016/j.eneco.2021.105126
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988321000311
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2021.105126?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Richstein, Jörn C. & Lorenz, Casimir & Neuhoff, Karsten, 2020. "An auction story: How simple bids struggle with uncertainty," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 89, pages 1-1.
    2. Madani, Mehdi & Van Vyve, Mathieu, 2015. "Computationally efficient MIP formulation and algorithms for European day-ahead electricity market auctions," European Journal of Operational Research, Elsevier, vol. 242(2), pages 580-593.
    3. Lawrence M. Ausubel & Peter Cramton & Marek Pycia & Marzena Rostek & Marek Weretka, 2014. "Demand Reduction and Inefficiency in Multi-Unit Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1366-1400.
    4. Hurwicz, Leonid, 1973. "The Design of Mechanisms for Resource Allocation," American Economic Review, American Economic Association, vol. 63(2), pages 1-30, May.
    5. Garci'a-Bertrand, Raquel & Conejo, Antonio J. & Gabriel, Steven, 2006. "Electricity market near-equilibrium under locational marginal pricing and minimum profit conditions," European Journal of Operational Research, Elsevier, vol. 174(1), pages 457-479, October.
    6. VAN VYVE, Mathieu, 2011. "Linear prices for non-convex electricity markets: models and algorithms," LIDAM Discussion Papers CORE 2011050, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Mehdi Madani & Mathieu Van Vyve, 2018. "Revisiting minimum profit conditions in uniform rice day-ahead electricity auctions," LIDAM Reprints CORE 2977, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Bower, John & Bunn, Derek, 2001. "Experimental analysis of the efficiency of uniform-price versus discriminatory auctions in the England and Wales electricity market," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 561-592, March.
    9. Meeus, Leonardo & Verhaegen, Karolien & Belmans, Ronnie, 2009. "Block order restrictions in combinatorial electric energy auctions," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1202-1206, August.
    10. Madani, Mehdi & Van Vyve, Mathieu, 2018. "Revisiting minimum profit conditions in uniform price day-ahead electricity auctions," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1072-1085.
    11. Paul Klemperer, 2004. "Auctions: Theory and Practice," Online economics textbooks, SUNY-Oswego, Department of Economics, number auction1.
    12. Sven de Vries & Rakesh V. Vohra, 2003. "Combinatorial Auctions: A Survey," INFORMS Journal on Computing, INFORMS, vol. 15(3), pages 284-309, August.
    13. Roth, Alvin E., 1982. "Incentive compatibility in a market with indivisible goods," Economics Letters, Elsevier, vol. 9(2), pages 127-132.
    14. Aliabadi, Danial Esmaeili & Kaya, Murat & Şahin, Güvenç, 2017. "An agent-based simulation of power generation company behavior in electricity markets under different market-clearing mechanisms," Energy Policy, Elsevier, vol. 100(C), pages 191-205.
    15. Paul Klemperer, 2004. "Auctions: Theory and Practice," Online economics textbooks, SUNY-Oswego, Department of Economics, number auction1.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sirin, Selahattin Murat & Erten, Ibrahim, 2022. "Price spikes, temporary price caps, and welfare effects of regulatory interventions on wholesale electricity markets," Energy Policy, Elsevier, vol. 163(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. D'avid Csercsik, 2020. "Strategic bidding via the interplay of minimum income condition orders in day-ahead power exchanges," Papers 2012.07789, arXiv.org.
    2. Divényi, Dániel & Polgári, Beáta & Sleisz, Ádám & Sőrés, Péter & Raisz, Dávid, 2021. "Investigating minimum income condition orders on European power exchanges: Controversial properties and enhancement proposals," Applied Energy, Elsevier, vol. 281(C).
    3. Alessandra Casella & Adam B. Cox, 2018. "A Property Rights Approach to Temporary Work Visas," The Journal of Legal Studies, University of Chicago Press, vol. 47(S1), pages 195-227.
    4. Mehdi Madani & Mathieu Van Vyve, 2017. "A MIP framework for non-convex uniform price day-ahead electricity auctions," EURO Journal on Computational Optimization, Springer;EURO - The Association of European Operational Research Societies, vol. 5(1), pages 263-284, March.
    5. Richstein, Jörn C. & Lorenz, Casimir & Neuhoff, Karsten, 2020. "An auction story: How simple bids struggle with uncertainty," Energy Economics, Elsevier, vol. 89(C).
    6. Satoru Fujishige & Zaifu Yang, 2020. "A Universal Dynamic Auction for Unimodular Demand Types: An Efficient Auction Design for Various Kinds of Indivisible Commodities," Discussion Papers 20/08, Department of Economics, University of York.
    7. Estrella Alonso & Joaquín Sánchez-Soriano & Juan Tejada, 2020. "Mixed Mechanisms for Auctioning Ranked Items," Mathematics, MDPI, vol. 8(12), pages 1-26, December.
    8. Dejan Trifunović & Bojan Ristić, 2013. "Multi-Unit Auctions In The Procurement Of Electricity," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 58(197), pages 47-78, April – J.
    9. Ning Sun & Zaifu Yang, 2014. "An Efficient and Incentive Compatible Dynamic Auction for Multiple Complements," Journal of Political Economy, University of Chicago Press, vol. 122(2), pages 422-466.
    10. Kaplan, Todd R. & Zamir, Shmuel, 2015. "Advances in Auctions," Handbook of Game Theory with Economic Applications,, Elsevier.
    11. Cameron Hepburn & Michael Grubb & Karsten Neuhoff & Felix Matthes & Maximilien Tse, 2006. "Auctioning of EU ETS phase II allowances: how and why?," Climate Policy, Taylor & Francis Journals, vol. 6(1), pages 137-160, January.
    12. Anatolitis, Vasilios & Welisch, Marijke, 2017. "Putting renewable energy auctions into action – An agent-based model of onshore wind power auctions in Germany," Energy Policy, Elsevier, vol. 110(C), pages 394-402.
    13. Mares Vlad & Shor Mikhael, 2012. "On the Competitive Effects of Bidding Syndicates," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-33, September.
    14. Sun, Ning & Yang, Zaifu, 2016. "An Efficient and Strategy-Proof Double-Track Auction for Substitutes and Complements," Center for Mathematical Economics Working Papers 523, Center for Mathematical Economics, Bielefeld University.
    15. Axel Ockenfels, 2009. "Marktdesign und Experimentelle Wirtschaftsforschung," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 10(s1), pages 31-53, May.
    16. Madani, M. & Van Vyve, M., 2015. "A MIP framework for non-convex uniform price day-ahead electricity auctions," LIDAM Discussion Papers CORE 2015017, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    17. Petr Fiala, 2016. "Supply chain coordination with auctions," Journal of Business Economics, Springer, vol. 86(1), pages 155-171, January.
    18. Dormady, Noah & Healy, Paul J., 2019. "The consignment mechanism in carbon markets: A laboratory investigation," Journal of Commodity Markets, Elsevier, vol. 14(C), pages 51-65.
    19. Chatterjee, Rittwik & Chattopadhyay, Srobonti, 2015. "Competition and Auctioning Licenses," MPRA Paper 67086, University Library of Munich, Germany.
    20. Scott Duke Kominers & Alexander Teytelboym & Vincent P Crawford, 2017. "An invitation to market design," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(4), pages 541-571.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:95:y:2021:i:c:s0140988321000311. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.