IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2021i1p304-d712950.html
   My bibliography  Save this article

Strategy for Optimal Grid Planning and System Evaluation of Networked Distribution Systems

Author

Listed:
  • Junwoo Lee

    (School of Electrical Engineering, Korea University, Seoul 02841, Korea)

  • Myungseok Yoon

    (School of Electrical Engineering, Korea University, Seoul 02841, Korea)

  • Wookyu Chae

    (Smart Power Distribution Laboratory, Distribution Planning Group, KEPCO Research Institute, Daejeon 34056, Korea)

  • Woohyun Kim

    (Smart Power Distribution Laboratory, Distribution Planning Group, KEPCO Research Institute, Daejeon 34056, Korea)

  • Sungyun Choi

    (School of Electrical Engineering, Korea University, Seoul 02841, Korea)

Abstract

The meshed network may become a standard for future distribution systems owing to its various benefits regarding voltage profile, reliability, losses, and the distributed generation (DG). Therefore, in Korea, there is a plan to introduce an advanced form of meshed network called a networked distribution system (NDS). This refers to a system with permanent linkages between four distribution lines (DLs) and N × N communication-based protection. To properly introduce NDS to an actual grid, this study proposes a strategy for optimal grid planning and system evaluation. Four different topologies and four practical indicators are explained. First, load imbalance is used to find the optimal grid that maximizes the load capacity. Second, line overload, fault current, and temporary overvoltage (TOV) were used to evaluate the necessity of load transfer, availability of circuit breakers, relay settings, and system stability. PSCAD/EMTDC were employed for the simulation. This study establishes the construction and evaluation guidelines of NDS for distribution system operators (DSOs).

Suggested Citation

  • Junwoo Lee & Myungseok Yoon & Wookyu Chae & Woohyun Kim & Sungyun Choi, 2021. "Strategy for Optimal Grid Planning and System Evaluation of Networked Distribution Systems," Sustainability, MDPI, vol. 14(1), pages 1-18, December.
  • Handle: RePEc:gam:jsusta:v:14:y:2021:i:1:p:304-:d:712950
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/1/304/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/1/304/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marco R. M. Cruz & Desta Z. Fitiwi & Sérgio F. Santos & Sílvio J. P. S. Mariano & João P. S. Catalão, 2018. "Prospects of a Meshed Electrical Distribution System Featuring Large-Scale Variable Renewable Power," Energies, MDPI, vol. 11(12), pages 1-17, December.
    2. Victor Widiputra & Junhyuk Kong & Yejin Yang & Jaesung Jung & Robert Broadwater, 2020. "Maximizing Distributed Energy Resource Hosting Capacity of Power System in South Korea Using Integrated Feeder, Distribution, and Transmission System," Energies, MDPI, vol. 13(13), pages 1-15, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Yoon, Myungseok & Cho, Namhun & Choi, Sungyun, 2023. "Analysis of temporary overvoltage due to inverter-based distributed generation in networked distribution systems," Applied Energy, Elsevier, vol. 341(C).

    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.
    1. Md Tariqul Islam & M. J. Hossain, 2023. "Artificial Intelligence for Hosting Capacity Analysis: A Systematic Literature Review," Energies, MDPI, vol. 16(4), pages 1-33, February.
    2. Junwoo Lee & Wookyu Chae & Woohyun Kim & Sungyun Choi, 2022. "Control Strategy for Line Overload and Short Circuit Current of Networked Distribution Systems," Sustainability, MDPI, vol. 14(7), pages 1-17, April.
    3. Woo-Hyun Kim & Woo-Kyu Chae & Hyeon-Myeong Lee & Hyun-Woo No & Dong-Sub Kim, 2022. "Development Status and Future Strategies of Networked Distribution System," Sustainability, MDPI, vol. 14(18), pages 1-25, September.
    4. Kang, Jia-Ning & Wei, Yi-Ming & Liu, Lan-Cui & Han, Rong & Yu, Bi-Ying & Wang, Jin-Wei, 2020. "Energy systems for climate change mitigation: A systematic review," Applied Energy, Elsevier, vol. 263(C).
    5. Guodong You & Tao Xu & Honglin Su & Xiaoxin Hou & Jisheng Li, 2019. "Fault-Tolerant Control for Actuator Faults of Wind Energy Conversion System," Energies, MDPI, vol. 12(12), pages 1-16, June.
    6. Ning Li & Fuxing He & Wentao Ma, 2019. "Wind Power Prediction Based on Extreme Learning Machine with Kernel Mean p -Power Error Loss," Energies, MDPI, vol. 12(4), pages 1-19, February.

    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:jsusta:v:14:y:2021:i:1:p:304-:d:712950. 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.