IDEAS home Printed from https://ideas.repec.org/a/spr/orspec/v47y2025i4d10.1007_s00291-025-00819-w.html
   My bibliography  Save this article

Integer constraints in a Cournot model - an application to electricity market modelling

Author

Listed:
  • Mel T. Devine

    (University College Dublin, College of Business)

  • Muireann Á. Lynch

    (Economic and Social Research Institute
    Johns Hopkins University, Department of Environmental and Public Health Engineering
    Trinity College Dublin, Department of Economics)

Abstract

The costs associated with electricity generation include costs that are independent of their marginal output, such as the cost of starting their units, and constraints such as minimum generation levels. Modelling these costs and constraints requires integer formulation of the units, and so they have typically been ignored in electricity market modelling and simulation to date. We present a stochastic equilibrium model to include these costs and constraints in a Cournot game. We solve it using the Gauss-Seidel diagonalization algorithm and apply it to a model of the power system of the island of Ireland for varying levels of variable renewable power generation. We find that the impacts of integer modelling are non-trivial, and are heterogeneous across firms and wind levels. Furthermore, excluding integer modelling exaggerates the impact of price-making behaviour. We conclude that neglecting integer constraints in power system market models leads to inaccurate results, particularly at high penetrations of renewable energy sources.

Suggested Citation

  • Mel T. Devine & Muireann Á. Lynch, 2025. "Integer constraints in a Cournot model - an application to electricity market modelling," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 47(4), pages 1337-1377, December.
  • Handle: RePEc:spr:orspec:v:47:y:2025:i:4:d:10.1007_s00291-025-00819-w
    DOI: 10.1007/s00291-025-00819-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00291-025-00819-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00291-025-00819-w?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:spr:orspec:v:47:y:2025:i:4:d:10.1007_s00291-025-00819-w. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.