IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i23p6020-d1533180.html
   My bibliography  Save this article

Generalized Distribution Network Data-Gathering Procedure for ADMS Deployment

Author

Listed:
  • Duško Bekut

    (Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia)

  • Goran Švenda

    (Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia)

  • Sonja Kanjuh

    (Digital Energy Division, Schneider Electric, 21000 Novi Sad, Serbia)

  • Verica Koturević

    (Digital Energy Division, Schneider Electric, 21000 Novi Sad, Serbia)

Abstract

The implementation of advanced distribution management systems (ADMS) in today’s distribution networks (DNs) is critical for efficient operation. However, ADMS deployment poses significant challenges, particularly in gathering the extensive and diverse data required to model DNs. This paper presents a generalized, systematic, and algorithm-driven procedure for optimizing the missing data-gathering process during ADMS deployment. The procedure identifies the required DN model data by layers, considers distribution power utility (DPU) data sources, identifies missing data, and evaluates methods and the missing data-gathering ways, considering cost, duration, and specific constraints for data gathering. The developed approach provides DPUs with a clear, structured, and proactive approach to data gathering, significantly reducing complexity and enhancing efficiency. The practical application of this procedure is demonstrated using a real-world unbalanced DN example from a North American DPU, showcasing its potential to streamline ADMS deployment and deliver tangible operational benefits.

Suggested Citation

  • Duško Bekut & Goran Švenda & Sonja Kanjuh & Verica Koturević, 2024. "Generalized Distribution Network Data-Gathering Procedure for ADMS Deployment," Energies, MDPI, vol. 17(23), pages 1-20, November.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:6020-:d:1533180
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/23/6020/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/23/6020/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mirna Grzanic & Marco Giacomo Flammini & Giuseppe Prettico, 2019. "Distribution Network Model Platform: A First Case Study," Energies, MDPI, vol. 12(21), pages 1-17, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:gam:jeners:v:17:y:2024:i:23:p:6020-:d:1533180. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.