IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v231y2026ics1364032126000390.html

Generic wind turbine models for power system stability assessment based on IEC 61400-27: A review

Author

Listed:
  • Jiménez-Ruiz, Javier
  • Villena-Ruiz, Raquel
  • Honrubia-Escribano, Andrés
  • Fortmann, Jens
  • Gómez-Lázaro, Emilio

Abstract

As wind energy has become increasingly integrated into electrical systems worldwide, several international working groups—most notably the International Electrotechnical Commission and the Western Electricity Coordinating Council have significantly contributed to the development of generic wind turbine models used for dynamic grid stability simulations. These models have been the subject of extensive discussion in recent years, as they are essential for grid operators in network planning, given that detailed manufacturer models are typically unavailable or impractical for such purposes. This article presents the work carried out by the International Electrotechnical Commission in this domain, highlighting the modifications introduced during the development of these models. It also includes a detailed description of the modules that constitute the generic wind turbine models. Furthermore, this work offers deeper insights than previous studies, providing a more comprehensive and updated understanding of these models. As such, the results presented here are highly valuable for grid operators, wind turbine manufacturers, and researchers focused on the integration of wind power into power systems.

Suggested Citation

  • Jiménez-Ruiz, Javier & Villena-Ruiz, Raquel & Honrubia-Escribano, Andrés & Fortmann, Jens & Gómez-Lázaro, Emilio, 2026. "Generic wind turbine models for power system stability assessment based on IEC 61400-27: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 231(C).
  • Handle: RePEc:eee:rensus:v:231:y:2026:i:c:s1364032126000390
    DOI: 10.1016/j.rser.2026.116740
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032126000390
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2026.116740?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:rensus:v:231:y:2026:i:c:s1364032126000390. 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/600126/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.