IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v302y2024ics0360544224015883.html
   My bibliography  Save this article

Optimal participation of battery swapping stations in frequency regulation market considering uncertainty

Author

Listed:
  • Wang, Ziqi
  • Hou, Sizu

Abstract

Electric vehicle battery swapping stations (BSS) have significant potential in power system frequency regulation. However, uncertainties of swapping demand and regulation signals introduce risks to operational benefits and regulation performances. Aming to enhance overall profitability, this study proposes day-ahead bidding and real-time scheduling strategies for BSS to participate in frequency regulation. In the day-ahead stage, the BSS scheduling model is established. Then, the information-gap decision theory (IGDT) is employed to determine the optimal reserve capacities. The randomness of regulation signals is captured by designing a new uncertainty set based on statistical analysis. Additionally, a boundary autonomous selection (BAS) method is developed to solve the IGDT model, making the selected scenarios more consistent with real-world situations. In the intra-day stage, a real-time response strategy is proposed to track the regulation signals considering the BSS operation economy. Simulations are conducted using historical data from Pennsylvania, Jersey, and Maryland (PJM). The results demonstrate that the reserve capacities and response ratios obtained by the proposed strategies yield higher profits for BSS while ensuring regulation performance.

Suggested Citation

  • Wang, Ziqi & Hou, Sizu, 2024. "Optimal participation of battery swapping stations in frequency regulation market considering uncertainty," Energy, Elsevier, vol. 302(C).
    • Handle: RePEc:eee:energy:v:302:y:2024:i:c:s0360544224015883
    DOI: 10.1016/j.energy.2024.131815
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224015883
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.131815?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:energy:v:302:y:2024:i:c:s0360544224015883. 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.journals.elsevier.com/energy .

    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.