IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i20p3905-d276742.html
   My bibliography  Save this article

Modeling of Dry Band Formation and Arcing Processes on the Polluted Composite Insulator Surface

Author

Listed:
  • Jiahong He

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Kang He

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Bingtuan Gao

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

Abstract

This paper modeled the dry band formation and arcing processes on the composite insulator surface to investigate the mechanism of dry band arcing and optimize the insulator geometry. The model calculates the instantaneous electric and thermal fields before and after arc initialization by a generalized finite difference time domain (GFDTD) method. This method improves the field calculation accuracy at a high precision requirement area and reduces the computational complexity at a low precision requirement area. Heat transfer on the insulator surface is evaluated by a thermal energy balance equation to simulate a dry band formation process. Flashover experiments were conducted under contaminated conditions to verify the theoretical model. Both simulation and experiments results show that dry bands were initially formed close to high voltage (HV) and ground electrodes because the electric field and leakage current density around electrode are higher when compared to other locations along the insulator creepage distance. Three geometry factors (creepage factor, shed angle, and alternative shed ratio) were optimized when the insulator creepage distances remained the same. Fifty percent flashover voltage and average duration time from dry band generation moment to flashover were calculated to evaluate the insulator performance under contaminated conditions. This model analyzes the dry band arcing process on the insulator surface and provides detailed information for engineers in composite insulator design.

Suggested Citation

  • Jiahong He & Kang He & Bingtuan Gao, 2019. "Modeling of Dry Band Formation and Arcing Processes on the Polluted Composite Insulator Surface," Energies, MDPI, vol. 12(20), pages 1-20, October.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3905-:d:276742
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/20/3905/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/20/3905/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Muhammad Majid Hussain & Muhammad Akmal Chaudhary & Abdul Razaq, 2019. "Mechanism of Saline Deposition and Surface Flashover on High-Voltage Insulators near Shoreline: Mathematical Models and Experimental Validations," Energies, MDPI, vol. 12(19), pages 1-20, September.
    2. Xinhan Qiao & Zhijin Zhang & Xingliang Jiang & Tian Liang, 2019. "Influence of DC Electric Fields on Pollution of HVDC Composite Insulator Short Samples with Different Environmental Parameters," Energies, MDPI, vol. 12(12), pages 1-12, June.
    Full references (including those not matched with items on IDEAS)

    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. Da Zhang & Shuailin Chen, 2021. "Insulator Contamination Grade Recognition Using the Deep Learning of Color Information of Images," Energies, MDPI, vol. 14(20), pages 1-15, October.
    2. Da Zhang & Shuailin Chen, 2020. "Intelligent Recognition of Insulator Contamination Grade Based on the Deep Learning of Ultraviolet Discharge Image Information," Energies, MDPI, vol. 13(19), pages 1-16, October.
    3. Hao Yang & Haotian Zhang & Wen Cao & Xuanxiang Zhao & Ran Wen & Junping Zhao & Shengwu Tan & Pengchao Wang, 2021. "Optical Diagnostic Characterization of the Local Arc on Contaminated Insulation Surface at Low Pressure," Energies, MDPI, vol. 14(19), pages 1-11, September.
    4. Haitao Yang & Zhensheng Wu & Weinan Dong & Junpeng Dang & Hao Ren, 2021. "Analysis of the Influence of Silicone Rubber Aging on the Transmission Parameters of Terahertz Waves," Energies, MDPI, vol. 14(14), pages 1-17, July.
    5. Issouf Fofana & Janvier Sylvestre N’cho & Amidou Betie & Epiphane Hounton & Fethi Meghnefi & Kouba Marie Lucia Yapi, 2020. "Lessons to Learn from Post-Installation Pollution Levels Assessment of Some Distribution Insulators," Energies, MDPI, vol. 13(16), pages 1-11, August.
    6. Yifan Liao & Qiao Wang & Lin Yang & Zhiqiang Kuang & Yanpeng Hao & Chuyan Zhang, 2021. "Discharge Behavior and Morphological Characteristics of Suspended Water-Drop on Shed Edge during Rain Flashover of Polluted Large-Diameter Post Insulator," Energies, MDPI, vol. 14(6), pages 1-14, March.
    7. Arshad & Jawad Ahmad & Ahsen Tahir & Brian G. Stewart & Azam Nekahi, 2020. "Forecasting Flashover Parameters of Polymeric Insulators under Contaminated Conditions Using the Machine Learning Technique," Energies, MDPI, vol. 13(15), pages 1-16, July.
    8. Da Zhang & Fancui Meng, 2019. "Research on the Interrelation between Temperature Distribution and Dry Band on Wet Contaminated Insulators," Energies, MDPI, vol. 12(22), pages 1-14, November.

    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:12:y:2019:i:20:p:3905-:d:276742. 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.