IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i6p1320-d331640.html
   My bibliography  Save this article

Finite Element Analysis of the Breakdown Prediction for LDPE Stressed by Various Ramp Rates of DC Voltage Based on Molecular Displacement Model

Author

Listed:
  • Minhee Kim

    (Department of Electrical Engineering, Kyungpook National University, Daegu 41566, Korea)

  • Su-Hun Kim

    (Department of Electrical Engineering, Kyungpook National University, Daegu 41566, Korea)

  • Se-Hee Lee

    (Department of Electrical Engineering, Kyungpook National University, Daegu 41566, Korea)

Abstract

Predicting the electrical breakdown of polymers is critical for certifying the endurance and lifetime of high voltage power equipment. Since various factors contribute nonlinearly to the breakdown phenomena of polymer insulators, it is difficult to assess the impact of each factor independently. In this study, we numerically analyzed the breakdown phenomenon because of the ramp rate of the DC voltage applied to a polymer insulator, low-density polyethylene (LDPE), using the finite element method (FEM). To predict the breakdown initiation, we analyzed the relaxation time of the conduction current through the insulator as a significant indicator. The bipolar charge transport (BCT) model was used to analyze the charge behavior within the LDPE, and the breakdown voltage was predicted by incorporating the molecular displacement model. This analysis was conducted for a wide range of ramp rates from 10 to 1500 V/s. The current density was calculated using two different methods, namely the energy and average methods, and the results were compared with each other. The results of the numerical model were further verified by comparing with those from experiments reported in the literature.

Suggested Citation

  • Minhee Kim & Su-Hun Kim & Se-Hee Lee, 2020. "Finite Element Analysis of the Breakdown Prediction for LDPE Stressed by Various Ramp Rates of DC Voltage Based on Molecular Displacement Model," Energies, MDPI, vol. 13(6), pages 1-17, March.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:6:p:1320-:d:331640
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/6/1320/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/6/1320/
    Download Restriction: no
    ---><---

    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:13:y:2020:i:6:p:1320-:d:331640. 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: 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.