IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v405y2026ics0306261925019324.html

Optimal operation of grid-friendly megawatt-level ultra-fast EV charging stations: A review on constraints, objectives and algorithms for grid-interactive operation

Author

Listed:
  • Li, Jing
  • Lin, Xueru
  • Huang, Hao
  • Wang, Rui
  • Zhong, Wei
  • Lin, Xiaojie
  • Wei, Wei

Abstract

The rapid adoption of electric vehicles is driving an increasing demand for advanced charging infrastructure. High-voltage, megawatt-level ultra-fast charging technologies can significantly reduce charging time, offering a promising solution to alleviate range anxiety. This emerging field benefits from advancements in charger technology, site planning techniques, and energy management strategies. In this review, we comprehensively examine the distinctions between ultra-fast charging stations and conventional charging stations, highlighting the core challenges across grid integration, user experience, economic viability, and environmental sustainability. We explore the constraints, objectives, variables, and algorithms involved in site selection and capacity planning, and then discuss the impact of integrating renewable energy and energy storage, as well as demand uncertainty on system planning. We analyze the operational strategies of charging stations under deterministic, uncertain, and intelligent control paradigms. This review also presents emerging trends in multi-energy integrated charging stations, the integration of artificial intelligence techniques such as spatiotemporal modeling, reinforcement learning, and multi-agent coordination for modeling and control, and potential development roadmaps. This review aims to provide valuable insights to support the sustainable and low-carbon development of future transportation and energy systems.

Suggested Citation

  • Li, Jing & Lin, Xueru & Huang, Hao & Wang, Rui & Zhong, Wei & Lin, Xiaojie & Wei, Wei, 2026. "Optimal operation of grid-friendly megawatt-level ultra-fast EV charging stations: A review on constraints, objectives and algorithms for grid-interactive operation," Applied Energy, Elsevier, vol. 405(C).
    • Handle: RePEc:eee:appene:v:405:y:2026:i:c:s0306261925019324
    DOI: 10.1016/j.apenergy.2025.127202
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261925019324
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2025.127202?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:405:y:2026:i:c:s0306261925019324. 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.