IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-3-031-24907-5_35.html
   My bibliography  Save this book chapter

Optimal Trading of a Hybrid Electric, Hydrogen and Gas Fueling Station in Day-Ahead and Intra-day Markets: Modeling Aspect

In: Operations Research Proceedings 2022

Author

Listed:
  • Farnaz Sohrabi

    (Czech Technical University in Prague)

  • Mohammad Rohaninejad

    (Czech Technical University in Prague)

  • Mohammad Reza Hesamzadeh

    (KTH Royal Institute of Technology)

  • Július Bemš

    (Czech Technical University in Prague)

Abstract

Energy crisis and environmental concerns encourage the adoptions of substitute transportation options instead of the conventional internal combustion engine vehicles. The electric, hydrogen and natural gas vehicles are promising alternatives, so more attention should be paid to the economic and operational features of their charging stations. This paper proposes a multifunction charging station to refill electric, hydrogen and natural gas vehicles which takes part in the day-ahead and intra-day markets. The objective of this station is to maximize its profit by attaining the optimal operation of the devices and bidding curves. Coordinated bidding is considered since this charging station participates in the sequential markets with different price scenarios. The clearing prices and dispatched amounts in both markets are unknown at the time of bidding. This problem is formulated as a two-stage stochastic program since the markets are cleared sequentially and the prices are revealed gradually. Finally, the economic effectiveness of the proposed multifunction charging station is analyzed in different scenarios.

Suggested Citation

  • Farnaz Sohrabi & Mohammad Rohaninejad & Mohammad Reza Hesamzadeh & Július Bemš, 2023. "Optimal Trading of a Hybrid Electric, Hydrogen and Gas Fueling Station in Day-Ahead and Intra-day Markets: Modeling Aspect," Lecture Notes in Operations Research, in: Oliver Grothe & Stefan Nickel & Steffen Rebennack & Oliver Stein (ed.), Operations Research Proceedings 2022, chapter 0, pages 289-295, Springer.
  • Handle: RePEc:spr:lnopch:978-3-031-24907-5_35
    DOI: 10.1007/978-3-031-24907-5_35
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnopch:978-3-031-24907-5_35. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.