IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i7p942-d103968.html
   My bibliography  Save this article

Experimental Investigation on Propagation Characteristics of PD Radiated UHF Signal in Actual 252 kV GIS

Author

Listed:
  • Tianhui Li

    (State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China)

  • Mingzhe Rong

    (State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Xiaohua Wang

    (State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Jin Pan

    (State Grid Hebei Electric Power Research Institute, Shijiazhuang 050021, China)

Abstract

For partial discharge (PD) diagnostics in gas insulated switchgears (GISs) based on the ultra-high-frequency (UHF) method, it is essential to study the attenuation characteristics of UHF signals so as to improve the application of the UHF technique. Currently, the performance of UHF has not been adequately considered in most experimental research, while the constructive conclusions about the installation and position of UHF sensors are relatively rare. In this research, by using a previously-designed broadband sensor, the output signal is detected and analyzed experimentally in a 252 kV GIS with L-shaped structure and disconnecting switch. Since the relative position of the sensor and the defect is usually fixed by prior research, three circumferential angle positions of the defect in cross section are performed. The results are studied by time, statistics and frequency analyses. This identifies that the discontinuity conductor of DS will lead to a rise of both the peak to peak value ( Vpp ) and the transmission rate of the UHF signal. Then, the frequency analysis indicates that the reason for the distinction of signal amplitude and transmission rate is that the mode components of the PD signal are distinctively affected by the special structure of GIS. Finally, the optimal circumferential angle position of the UHF Sensor is given based on the comparison of transmission rates.

Suggested Citation

  • Tianhui Li & Mingzhe Rong & Xiaohua Wang & Jin Pan, 2017. "Experimental Investigation on Propagation Characteristics of PD Radiated UHF Signal in Actual 252 kV GIS," Energies, MDPI, vol. 10(7), pages 1-12, July.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:942-:d:103968
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/7/942/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/10/7/942/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ju Tang & Jiabin Zhou & Xiaoxing Zhang & Fan Liu, 2012. "A Transformer Partial Discharge Measurement System Based on Fluorescent Fiber," Energies, MDPI, vol. 5(5), pages 1-13, May.
    2. Tianyan Jiang & Jian Li & Yuanbing Zheng & Caixin Sun, 2011. "Improved Bagging Algorithm for Pattern Recognition in UHF Signals of Partial Discharges," Energies, MDPI, vol. 4(7), 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. Łukasz Nagi & Michał Kozioł & Jarosław Zygarlicki, 2020. "Optical Radiation from an Electric Arc at Different Frequencies," Energies, MDPI, vol. 13(7), pages 1-9, April.
    2. Tianhui Li & Xianhai Pang & Boyan Jia & Yanwei Xia & Siming Zeng & Hongliang Liu & Hao Tian & Fen Lin & Dan Wang, 2020. "Detection and Diagnosis of Defect in GIS Based on X-ray Digital Imaging Technology," Energies, MDPI, vol. 13(3), pages 1-18, February.

    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. Jian Li & Xudong Li & Lin Du & Min Cao & Guochao Qian, 2016. "An Intelligent Sensor for the Ultra-High-Frequency Partial Discharge Online Monitoring of Power Transformers," Energies, MDPI, vol. 9(5), pages 1-15, May.
    2. Tianhui Li & Xianhai Pang & Boyan Jia & Yanwei Xia & Siming Zeng & Hongliang Liu & Hao Tian & Fen Lin & Dan Wang, 2020. "Detection and Diagnosis of Defect in GIS Based on X-ray Digital Imaging Technology," Energies, MDPI, vol. 13(3), pages 1-18, February.
    3. Ming Ren & Ming Dong & Jialin Liu, 2016. "Statistical Analysis of Partial Discharges in SF 6 Gas via Optical Detection in Various Spectral Ranges," Energies, MDPI, vol. 9(3), pages 1-15, March.
    4. Al-geelani, Nasir A. & M. Piah, M. Afendi & Bashir, Nouruddeen, 2015. "A review on hybrid wavelet regrouping particle swarm optimization neural networks for characterization of partial discharge acoustic signals," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 20-35.
    5. Gaoyang Li & Xiaohua Wang & Aijun Yang & Mingzhe Rong & Kang Yang, 2017. "Failure Prognosis of High Voltage Circuit Breakers with Temporal Latent Dirichlet Allocation," Energies, MDPI, vol. 10(11), pages 1-20, November.
    6. Luis Hernández-Callejo, 2019. "A Comprehensive Review of Operation and Control, Maintenance and Lifespan Management, Grid Planning and Design, and Metering in Smart Grids," Energies, MDPI, vol. 12(9), pages 1-50, April.
    7. Stefan Tenbohlen & Chandra Prakash Beura & Wojciech Sikorski & Ricardo Albarracín Sánchez & Bruno Albuquerque de Castro & Michael Beltle & Pascal Fehlmann & Martin Judd & Falk Werner & Martin Siegel, 2023. "Frequency Range of UHF PD Measurements in Power Transformers," Energies, MDPI, vol. 16(3), pages 1-21, January.
    8. Shuaibing Li & Guoqiang Gao & Guangcai Hu & Bo Gao & Haojie Yin & Wenfu Wei & Guangning Wu, 2017. "Influences of Traction Load Shock on Artificial Partial Discharge Faults within Traction Transformer—Experimental Test for Pattern Recognition," Energies, MDPI, vol. 10(10), pages 1-17, October.
    9. Jian Li & Zhiman He & Youyuan Wang & Jinzhuang Lv & Linjie Zhao, 2012. "A Two-Dimensional Cloud Model for Condition Assessment of HVDC Converter Transformers," Energies, MDPI, vol. 5(1), pages 1-11, January.

    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:10:y:2017:i:7:p:942-:d:103968. 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.