IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-031-41371-1_17.html
   My bibliography  Save this book chapter

Energy Saving of a Drone in Order to Increase Flight Time and Distance Traveled, Modeling, and Optimization

In: Computational and Strategic Business Modelling

Author

Listed:
  • Dimitrios A. Arvanitidis

    (University of Peloponnese)

  • Dimitrios K. Nasiopoulos

    (School of Applied Economics and Social Sciences, Agricultural University of Athens)

  • Dimitrios M. Mastrakoulis

    (University of Thessaly)

  • Panagiotis Reklitis

    (School of Applied Economics and Social Sciences, Agricultural University of Athens)

Abstract

As renewable energy production and grid-connected inverter ports have almost no damping and inertia, the renewable energy generation system has low inertia and weak damping characteristics (Yingjie et al., IEEE Trans Power Syst, 2018). In terms of absorbed power or output power of the BESS, the battery power station can stabilize the unbalanced power in the power system and improve the ability to support the constant frequency of the system to produce energy from renewable sources, with a friendly to solar panels adjacent (Serban and Marinescu, IEEE Trans Power Electron 29(9):5010–5020, 2014). However, there is still a very big problem, as the autonomy of the batteries used is very short. Following the above consideration, a support control strategy for BESS with the third-order model of modern generators is proposed. Through the design of the adjustment factor, the dynamic process of the battery storage station in question is analyzed, which participates in the frequency response of the power grid and affects the frequency stability of the power generation system from renewable sources, at the depth of the BESS frequency modulation. This research work studies the problem, aiming to bring an improvement in the process with the use of modeling and simulation.

Suggested Citation

  • Dimitrios A. Arvanitidis & Dimitrios K. Nasiopoulos & Dimitrios M. Mastrakoulis & Panagiotis Reklitis, 2024. "Energy Saving of a Drone in Order to Increase Flight Time and Distance Traveled, Modeling, and Optimization," Springer Proceedings in Business and Economics, in: Damianos P. Sakas & Dimitrios K. Nasiopoulos & Yulia Taratuhina (ed.), Computational and Strategic Business Modelling, pages 195-213, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-41371-1_17
    DOI: 10.1007/978-3-031-41371-1_17
    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:prbchp:978-3-031-41371-1_17. 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.