IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/8847221.html
   My bibliography  Save this article

Maximum Penetration of Distributed Generations and Improvement of Technical Indicators in Distribution Systems

Author

Listed:
  • Thuan Thanh Nguyen
  • Thang Trung Nguyen
  • Ngoc Au Nguyen

Abstract

Increasing the possible capacity of distributed generations (DGs) supplying to distribution system (DS) is a highly effective solution to attract the investment of distributed generation (DG) installation in the DS. However, the presence of DGs will affect the technical indicators of the DS. This paper determines solutions of the DG placement problem for maximizing the size of distributed generations (DGs) and improving the technical indicators consisting of power loss reduction, increasing of balance among feeders and balance among branches, and voltage deviation reduction. A max-min method is proposed to combine the membership objective functions. The location and size of DGs are optimized based on an improved cuckoo search algorithm (ICSA). The simulation results for the 84-node system show that the proposed multiobjective problem not only helps to increase the capacity of DGs but also improves the technical factors. Moreover, the DG’s uncertainty is also validated to show its negative impacts on the technical indicators of the DS. Furthermore, ICSA is worthy for finding the optimal solution for the DG placement problem.

Suggested Citation

  • Thuan Thanh Nguyen & Thang Trung Nguyen & Ngoc Au Nguyen, 2020. "Maximum Penetration of Distributed Generations and Improvement of Technical Indicators in Distribution Systems," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-16, December.
    • Handle: RePEc:hin:jnlmpe:8847221
    DOI: 10.1155/2020/8847221
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2020/8847221.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2020/8847221.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2020/8847221?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
    ---><---

    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:8847221. 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.