IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/8081212.html
   My bibliography  Save this article

Optimized Economic Loading of Distribution Transformers Using Minimum Energy Loss Computing

Author

Listed:
  • Ayman Agha
  • Hani Attar
  • Ashish Kr. Luhach

Abstract

This paper presents an approach to achieve the Economic Loading of Distribution Transformer (ELDT) based on minimizing the active energy loss. The effects of the transformer on-load and no-load losses, load factor (LF), and load loss factor (LSF) on the total energy losses are considered. The adopted technique in this paper consists of two phases, where ELDT is determined analytically in the first phase, and the load profile adequated (LSF) is statistically obtained in the second one. The results declare that the proposed technique is suitable for the shifts system mode of operation such as in industrial plants. Moreover, this paper investigates the effect of the total active and reactive power and energy losses on ELDT. Finally, numerical examples with software analyses are performed as a valuable tool, which supports the decision-makers to decide trustfully the size of the transformer and its capacity (kVA) during the design stage, as well as to determine the economic loading during the operation based on the effective factors, that is, total power, energy losses, and the load profile.

Suggested Citation

  • Ayman Agha & Hani Attar & Ashish Kr. Luhach, 2021. "Optimized Economic Loading of Distribution Transformers Using Minimum Energy Loss Computing," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-9, December.
    • Handle: RePEc:hin:jnlmpe:8081212
    DOI: 10.1155/2021/8081212
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2021/8081212.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2021/8081212.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2021/8081212?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nassim A. Iqteit & Khalid Yahya & Firas M. Makahleh & Hani Attar & Ayman Amer & Ahmed Amin Ahmed Solyman & Ahmad Qudaimat & Khaled Tamizi, 2022. "Simple Mathematical and Simulink Model of Stepper Motor," Energies, MDPI, vol. 15(17), pages 1-14, August.
    2. Mantas Plienis & Tomas Deveikis & Audrius Jonaitis & Saulius Gudžius & Inga Konstantinavičiūtė & Donata Putnaitė, 2023. "Improved Methodology for Power Transformer Loss Evaluation: Algorithm Refinement and Resonance Risk Analysis," Energies, MDPI, vol. 16(23), pages 1-16, November.

    More about this item

    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:hin:jnlmpe:8081212. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.