IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i19p6116-d643279.html
   My bibliography  Save this article

Optical Diagnostic Characterization of the Local Arc on Contaminated Insulation Surface at Low Pressure

Author

Listed:
  • Hao Yang

    (School of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, China)

  • Haotian Zhang

    (School of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, China)

  • Wen Cao

    (School of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, China)

  • Xuanxiang Zhao

    (School of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, China)

  • Ran Wen

    (School of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, China)

  • Junping Zhao

    (School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Shengwu Tan

    (Pinggao Group Company Limited, Pingdingshan 467000, China)

  • Pengchao Wang

    (Pinggao Group Company Limited, Pingdingshan 467000, China)

Abstract

Flashover of contaminated insulators is a major problem for power systems at high altitude. Laboratory experiments have shown that the optical diagnostic method can provide extensive information on the physical process of contamination flashover. In this paper, a study of the local arc on a wet polluted surface under low pressure by using the optical diagnostic method is presented. The thickness of the continuous spectrum, spectral line intensity and the spectral composition varies significantly in different stages of the local arc development. Thermodynamic parameters of the local arc (including electron temperature, electron density and conductivity) are obtained by analyzing the spectra. Both the electron temperature and the conductivity increase with the increase in leakage current and air pressure. Although the electron density does not change significantly with an increase in leakage current, it increases significantly with an increase in air pressure. The findings of this work could be used as supplementary information for the investigation of local arc parameters, thus providing a reliable reference for the calculation of contamination flashover at high altitude.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6116-:d:643279
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/19/6116/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/19/6116/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michail Michelarakis & Phillip Widger & Abderrahmane Beroual & Abderrahmane (Manu) Haddad, 2019. "Electrical Detection of Creeping Discharges over Insulator Surfaces in Atmospheric Gases under AC Voltage Application," Energies, MDPI, vol. 12(15), pages 1-15, August.
    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.
    3. Mohammed El Amine Slama & Maurizio Albano & Abderrahmane Manu Haddad & Ronald T. Waters & Oliver Cwikowski & Ibrahim Iddrissu & Jon Knapper & Oliver Scopes, 2021. "Monitoring of Dry Bands and Discharge Activities at the Surface of Textured Insulators with AC Clean Fog Test Conditions," Energies, MDPI, vol. 14(10), pages 1-17, May.
    4. Wenxia Sima & Fusheng Guo & Qing Yang & Tao Yuan, 2012. "Calculation of the Arc Velocity Along the Polluted Surface of Short Glass Plates Considering the Air Effect," Energies, MDPI, vol. 5(3), pages 1-20, March.
    5. 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.
    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. Ioannis F. Gonos & Issouf Fofana, 2020. "Special Issue “Selected Papers from the 2018 IEEE International Conference on High Voltage Engineering (ICHVE 2018)”," Energies, MDPI, vol. 13(18), pages 1-5, September.
    3. 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.
    4. 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.
    5. Andrew Adewunmi Adekunle & Samson Okikiola Oparanti & Issouf Fofana, 2023. "Performance Assessment of Cellulose Paper Impregnated in Nanofluid for Power Transformer Insulation Application: A Review," Energies, MDPI, vol. 16(4), pages 1-32, February.
    6. Houssem Eddine Nechmi & Michail Michelarakis & Abderrahmane (Manu) Haddad & Gordon Wilson, 2021. "Clarifications on the Behavior of Alternative Gases to SF 6 in Divergent Electric Field Distributions under AC Voltage," Energies, MDPI, vol. 14(4), pages 1-23, February.
    7. Issouf Fofana & Stephan Brettschneider, 2022. "Outdoor Insulation and Gas-Insulated Switchgears," Energies, MDPI, vol. 15(21), pages 1-7, November.
    8. Jinpeng Hao & Jinzhu Huang & Ziyi Fang & Xiao He & Qiang Wu & Xiaolong Gu & Yu Wang & Hong Wu, 2023. "Suppression Measures of Partial Discharge at Rod–Plate Connection in Composite Tower," Energies, MDPI, vol. 16(9), pages 1-17, April.
    9. Mohammed El Amine Slama & Adnan Krzma & Maurizio Albano & Abderrahmane Manu Haddad, 2022. "Experimental Study and Modeling of the Effect of ESDD/NSDD on AC Flashover of SiR Outdoor Insulators," Energies, MDPI, vol. 15(10), pages 1-14, May.
    10. 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.
    11. Marc-Alain Andoh & Kone Gbah & Christophe Volat, 2022. "Development of a Simple Experimental Setup for the Study of the Formation of Dry Bands on Composite Insulators," Energies, MDPI, vol. 15(14), pages 1-17, July.

    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:14:y:2021:i:19:p:6116-:d:643279. 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.