IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v397y2025ics0306261925011067.html
   My bibliography  Save this article

A scalable mixed-integer programming model for multi-period hydropower planning in a single-reservoir system

Author

Listed:
  • Karamyar, Fatemeh
  • Sefair, Jorge A.
  • Wei, Yuhang
  • Sabo, John L.

Abstract

This paper presents a mixed-integer linear formulation for solving a multi-period hydropower production planning problem in a single-reservoir system. The model offers a tractable yet realistic framework for long-term planning of hydropower operations. We utilize a production-driven dispatch model aimed at optimizing water releases at reservoirs and dams to maximize hydropower generation. The approach discretizes water levels, simplifies nonconvex dynamics, and prescribes easy-to-interpret operational curves for release guidance. Key features include a head-dependent hydropower function, upstream flow travel time, smoothing constraints on water release, and a turbine switch-off policy. The model is evaluated using real data from the Lower Mekong Basin.

Suggested Citation

  • Karamyar, Fatemeh & Sefair, Jorge A. & Wei, Yuhang & Sabo, John L., 2025. "A scalable mixed-integer programming model for multi-period hydropower planning in a single-reservoir system," Applied Energy, Elsevier, vol. 397(C).
  • Handle: RePEc:eee:appene:v:397:y:2025:i:c:s0306261925011067
    DOI: 10.1016/j.apenergy.2025.126376
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261925011067
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2025.126376?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:eee:appene:v:397:y:2025:i:c:s0306261925011067. 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.