IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v403y2026ipas0306261925017787.html

A comprehensive optimization framework to maximize vehicle-to-grid revenues: Combining multi-market power trading with frequency containment reserve

Author

Listed:
  • Biedenbach, Florian
  • Wurzel, Joscha
  • Vollmuth, Patrick
  • Strunz, Kai

Abstract

Electric vehicles (EVs) with bidirectional charging capability have the potential to become a key contributor to storage capacity required for the energy transition. Therefore, their flexibility could be aggregated and integrated into the electricity markets. This integration may be accomplished via arbitrage trading, where the EVs are charged at low prices and discharged at high prices. Additionally, EVs can support grid stability by providing ancillary services like frequency containment reserve (FCR). Trading on multiple electricity markets can be described as multi-market power trading. In this article, we introduce a model that optimizes the power trading of bidirectionally chargeable EVs at different energy markets and the FCR market. Since the activation of FCR is not predictable, we exclude the FCR activation from the optimization and depict it in a subsequent algorithm-based simulation. The model application demonstrates high revenue potential, particularly compared to state-of-the-art arbitrage trading on a single market. The results illustrate the high relevance of multi-market power trading for future vehicle-to-grid business models.

Suggested Citation

  • Biedenbach, Florian & Wurzel, Joscha & Vollmuth, Patrick & Strunz, Kai, 2026. "A comprehensive optimization framework to maximize vehicle-to-grid revenues: Combining multi-market power trading with frequency containment reserve," Applied Energy, Elsevier, vol. 403(PA).
  • Handle: RePEc:eee:appene:v:403:y:2026:i:pa:s0306261925017787
    DOI: 10.1016/j.apenergy.2025.127048
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261925017787
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2025.127048?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:403:y:2026:i:pa:s0306261925017787. 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.