IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v381y2025ics0306261924025406.html
   My bibliography  Save this article

Applicability of a flow-based grid representation in spatially resolved generation expansion planning models

Author

Listed:
  • Serrien, Floor
  • Meus, Jelle
  • Delarue, Erik

Abstract

Generation expansion planning models (GEPMs) support decision-makers in developing the future energy system. Research indicates that the accuracy of a GEPM improves with increased spatial granularity, as these models are able to leverage geographic variations in weather conditions and electricity demand. The outcome of such spatially resolved models, however, can be significantly distorted when employing a simplified representation of the transmission grid. Then again, considering detailed power flows and individual transmission limits is often computationally intractable. We propose a novel approach to incorporate transmission constraints in spatially resolved GEPMs, inspired by the flow-based market coupling algorithm in the European Core Region. This approach is benchmarked against two commonly used grid representations in GEPMs, i.e. a nodal and net transfer capacity representation. The flow-based approach significantly enhances computational efficiency, while closely approximating the accuracy of a nodal GEPM.

Suggested Citation

  • Serrien, Floor & Meus, Jelle & Delarue, Erik, 2025. "Applicability of a flow-based grid representation in spatially resolved generation expansion planning models," Applied Energy, Elsevier, vol. 381(C).
  • Handle: RePEc:eee:appene:v:381:y:2025:i:c:s0306261924025406
    DOI: 10.1016/j.apenergy.2024.125156
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261924025406
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2024.125156?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.

    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:appene:v:381:y:2025:i:c:s0306261924025406. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.