IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1705.01675.html

Pricing in non-convex markets with quadratic deliverability costs

Author

Listed:
  • Xiaolong Kuang
  • Alberto J. Lamadrid
  • Luis F. Zuluaga

Abstract

The problem of obtaining market-clearing prices for markets with non-convexities has been widely studied in the literature. This is particularly the case in electricity markets, where worldwide deregulation leads to markets in which non-convexities arise from the decisions of market operators regarding which generators are committed to provide electricity power. Here, we extend seminal results in this area to address the problem of obtaining market-clearing prices for markets in which beyond non-convexities, it is relevant to account for convex quadratic market costs. In a general market, such costs arise from quadratic commodity costs or transactions costs. In an electricity market, such quadratic costs arise when ramping costs need to be considered due to the presence of renewable energy sources, which continue to increase their participation in electricity markets. To illustrate our results, we compute and analyze the clearing prices of a classical market problem with the addition of ramping costs.

Suggested Citation

  • Xiaolong Kuang & Alberto J. Lamadrid & Luis F. Zuluaga, 2017. "Pricing in non-convex markets with quadratic deliverability costs," Papers 1705.01675, arXiv.org.
  • Handle: RePEc:arx:papers:1705.01675
    as

    Download full text from publisher

    File URL: https://arxiv.org/pdf/1705.01675
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zoltowska, Izabela, 2016. "Demand shifting bids in energy auction with non-convexities and transmission constraints," Energy Economics, Elsevier, vol. 53(C), pages 17-27.
    2. Herbert E. Scarf, 1990. "Mathematical Programming and Economic Theory," Operations Research, INFORMS, vol. 38(3), pages 377-385, June.
    3. Starr, Ross M, 1969. "Quasi-Equilibria in Markets with Non-Convex Preferences," Econometrica, Econometric Society, vol. 37(1), pages 25-38, January.
    4. Bentolila, Samuel & Saint-Paul, Gilles, 1992. "The macroeconomic impact of flexible labor contracts, with an application to Spain," European Economic Review, Elsevier, vol. 36(5), pages 1013-1047, June.
    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. David B. Brown & James E. Smith, 2011. "Dynamic Portfolio Optimization with Transaction Costs: Heuristics and Dual Bounds," Management Science, INFORMS, vol. 57(10), pages 1752-1770, October.
    8. George Liberopoulos & Panagiotis Andrianesis, 2016. "Critical Review of Pricing Schemes in Markets with Non-Convex Costs," Operations Research, INFORMS, vol. 64(1), pages 17-31, February.
    9. Ho-Yin Mak & Ying Rong & Jiawei Zhang, 2014. "Sequencing Appointments for Service Systems Using Inventory Approximations," Manufacturing & Service Operations Management, INFORMS, vol. 16(2), pages 251-262, May.
    10. Alper Atamtürk & Gemma Berenguer & Zuo-Jun (Max) Shen, 2012. "A Conic Integer Programming Approach to Stochastic Joint Location-Inventory Problems," Operations Research, INFORMS, vol. 60(2), pages 366-381, April.
    Full references (including those not matched with items on IDEAS)

    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. Kuang, Xiaolong & Lamadrid, Alberto J. & Zuluaga, Luis F., 2019. "Pricing in non-convex markets with quadratic deliverability costs," Energy Economics, Elsevier, vol. 80(C), pages 123-131.
    2. Martin Bichler & Johannes Knörr & Felipe Maldonado, 2023. "Pricing in Nonconvex Markets: How to Price Electricity in the Presence of Demand Response," Information Systems Research, INFORMS, vol. 34(2), pages 652-675, June.
    3. Byers, Conleigh & Hug, Gabriela, 2023. "Long-run optimal pricing in electricity markets with non-convex costs," European Journal of Operational Research, Elsevier, vol. 307(1), pages 351-363.
    4. Stevens, Nicolas & Papavasiliou, Anthony & Smeers, Yves, 2024. "On some advantages of convex hull pricing for the European electricity auction," Energy Economics, Elsevier, vol. 134(C).
    5. George Liberopoulos & Panagiotis Andrianesis, 2016. "Critical Review of Pricing Schemes in Markets with Non-Convex Costs," Operations Research, INFORMS, vol. 64(1), pages 17-31, February.
    6. 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.
    7. Eldridge, B. & O Neill, R. & Hobbs, B., 2018. "Pricing in Day-Ahead Electricity Markets with Near-Optimal Unit Commitment," Cambridge Working Papers in Economics 1872, Faculty of Economics, University of Cambridge.
    8. Lukas Hümbs & Alexander Martin & Lars Schewe, 2022. "Exploiting complete linear descriptions for decentralized power market problems with integralities," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 95(3), pages 451-474, June.
    9. 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).
    10. Holmberg, Pär & Tangerås, Thomas & Ahlqvist, Victor, 2018. "Central- versus Self-Dispatch in Electricity Markets," Working Paper Series 1257, Research Institute of Industrial Economics, revised 27 Mar 2019.
    11. D'avid Csercsik, 2020. "Strategic bidding via the interplay of minimum income condition orders in day-ahead power exchanges," Papers 2012.07789, arXiv.org.
    12. Navid Azizan & Yu Su & Krishnamurthy Dvijotham & Adam Wierman, 2020. "Optimal Pricing in Markets with Nonconvex Costs," Operations Research, INFORMS, vol. 68(2), pages 480-496, March.
    13. Cheng Lu & Zhibin Deng & Shu-Cherng Fang & Qingwei Jin & Wenxun Xing, 0. "Fast computation of global solutions to the single-period unit commitment problem," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-26.
    14. Ceyhan, Gökhan & Köksalan, Murat & Lokman, Banu, 2022. "Extensions for Benders cuts and new valid inequalities for solving the European day-ahead electricity market clearing problem efficiently," European Journal of Operational Research, Elsevier, vol. 300(2), pages 713-726.
    15. Thomas Hubner, 2025. "Duality Gaps in Partially Nonconvex Optimization," Papers 2503.02464, arXiv.org, revised Aug 2026.
    16. Cheng Lu & Zhibin Deng & Shu-Cherng Fang & Qingwei Jin & Wenxun Xing, 2022. "Fast computation of global solutions to the single-period unit commitment problem," Journal of Combinatorial Optimization, Springer, vol. 44(3), pages 1511-1536, October.
    17. Shavandi, Hassan & Pirnia, Mehrdad & Fuller, J. David, 2019. "Extended opportunity cost model to find near equilibrium electricity prices under non-convexities," Applied Energy, Elsevier, vol. 240(C), pages 251-264.
    18. Xin Shi & Alberto J. Lamadrid L. & Luis F. Zuluaga, 2021. "Revenue Adequate Prices for Chance-Constrained Electricity Markets with Variable Renewable Energy Sources," Papers 2105.01233, arXiv.org.
    19. Vadim Borokhov, 2022. "Utilizing the redundant constraints for the uplift payment elimination," Operational Research, Springer, vol. 22(2), pages 1377-1402, April.
    20. Ahunbay, Mete Şeref & Bichler, Martin & Dobos, Teodora & Knörr, Johannes, 2024. "Solving large-scale electricity market pricing problems in polynomial time," European Journal of Operational Research, Elsevier, vol. 318(2), pages 605-617.

    More about this item

    Statistics

    Access and download statistics

    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:arx:papers:1705.01675. 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: arXiv administrators (email available below). General contact details of provider: https://arxiv.org/ .

    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.