IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i19p6948-d922497.html
   My bibliography  Save this article

Effect of Nano-MgO Doping in XLPE on Charge Transport and Electric Field Distribution in Composite Insulation of HVDC Cable Joint

Author

Listed:
  • Yani Wang

    (College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • Shuai Zhang

    (College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • Yuanyuan Sun

    (State Grid Fuyang City Suburban Power Supply Company, Fuyang 236000, China)

  • Xingwu Yang

    (College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

  • Chun Liu

    (College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China)

Abstract

The space charge characteristics of cross-linked polyethylene (XLPE) can be improved to some extent by doping the appropriate amount of nano-MgO. In this study, in order to explore the influence of nano-MgO on the space charge and electric field distributions of the composite insulation of high voltage direct current (HVDC) cable joints, the effect of nano-MgO concentration on the depth and density of the deep traps in MgO/XLPE was first analyzed. On this basis, the charge transport simulation model of a 320 kV HVDC cable joint was established with MgO/XLPE as the cable insulation, and the space charge and electric field distributions of the cable joint under different temperature conditions were simulated. It was found that the radial charge distribution in the joint shows different trends with the change of nano-MgO concentration. There is a significant difference in the charge density on both sides of the (MgO/XLPE)/EPDM interface, and the difference first decreased and then increased with the increase of concentration. When the nano-MgO concentration was 0.5 wt%, the number of charges in the radial direction is the fewest, and the maximum value is only 0.42 C/m −3 . The radial electric field changed abruptly at the (MgO/XLPE)/EPDM interface, and it was homogenized to a certain extent with time. It was found that the highest electric field of the interface is at the root of the stress cone, which is the weakest point of the joint insulation. When the nano-MgO concentration was 0.5 wt%, the electric field at the root of the stress cone was found to be the lowest, with a value of 13.38 kV/mm. A comprehensive comparison shows that the joint can maintain better insulation when the concentration is 0.5 wt% compared to other concentrations. The results can provide a basis for further improving the insulation properties of HVDC cable joints through nano doping technology.

Suggested Citation

  • Yani Wang & Shuai Zhang & Yuanyuan Sun & Xingwu Yang & Chun Liu, 2022. "Effect of Nano-MgO Doping in XLPE on Charge Transport and Electric Field Distribution in Composite Insulation of HVDC Cable Joint," Energies, MDPI, vol. 15(19), pages 1-17, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:6948-:d:922497
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/19/6948/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/19/6948/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Thi Thu Nga Vu & Gilbert Teyssedre & Séverine Le Roy, 2021. "Electric Field Distribution in HVDC Cable Joint in Non-Stationary Conditions," Energies, MDPI, vol. 14(17), pages 1-17, August.
    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. Yucui Xue & Wenmin Guo & Yunlong Sun & Zhonghua Li & Yongsen Han & Hongxu Jia, 2023. "Study on Nonlinear Dielectric Properties of Micro Silica," Energies, MDPI, vol. 16(5), pages 1-12, March.

    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. Rodolfo Araneo & Salvatore Celozzi & Stefano Lauria & Erika Stracqualursi & Gianfranco Di Lorenzo & Marco Graziani, 2022. "Recent Trends in Power Systems Modeling and Analysis," Energies, MDPI, vol. 15(23), pages 1-7, December.
    2. Paweł Mikrut & Paweł Zydroń, 2023. "Numerical Modeling of PD Pulses Formation in a Gaseous Void Located in XLPE Insulation of a Loaded HVDC Cable," Energies, MDPI, vol. 16(17), pages 1-21, September.
    3. Zbigniew Nadolny, 2022. "Electric Field Distribution and Dielectric Losses in XLPE Insulation and Semiconductor Screens of High-Voltage Cables," Energies, MDPI, vol. 15(13), pages 1-14, June.

    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:15:y:2022:i:19:p:6948-:d:922497. 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.