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The Electric Field Analysis and Test Experiments of Split Type Insulator Detection Robot

  • Pengxiang YinEmail author
  • Xiao Hong
  • Lei Zheng
  • Biwu Yan
  • Hao Luo
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 924)

Abstract

The insulator strings of Extra High Voltage (EHV) and Ultra High Voltage (UHV) transmission lines are longer. It is more convenient and effective to detect insulators with robot. Currently, insulator detection robots mainly work by climbing along the insulator string, the structure is bulky and complex, and needs further improvement. Therefore, this paper proposes a split insulator detection robot which is suitable for the detection of suspended insulator string. The electric field distribution around the insulator robot is simulated and analyzed. The test experiment of 220 kV insulator string is carried out. The results indicate that the maximum electric field strength around the split type robot is 1753 kV/m. Partial discharge will not be generated. The measured potential value of the insulator detection robot is less than the original voltage distribution value of the insulator. The actual voltage distribution of insulators can be obtained by compensation and correction, then the detection of low and zero insulators is carried out.

Keywords

Split type robot Insulator detection Electric field analysis Test experiments 

Notes

Acknowledgement

Fund Project: Technology project of State Power Grid Co., Ltd. (No. 524625170046)

References

  1. 1.
    Zhibin, Q., Jiangjun, R., Daochun, H., et al.: Study on aging modes and test of transmission line porcelain suspension insulators. High Volt. Eng. 42(4), 1259–1267 (2016)Google Scholar
  2. 2.
    Xian, Z., Richeng, L., Ming, Z., et al.: Online detection device of low or zero value insulators in UHVDC Transmission line. Electr. Power 49(6), 90–94 (2016)Google Scholar
  3. 3.
    Juan, J., Guanbin, W., Shiyou, M., et al.: The electric field analysis and optimal design on a robot for insulator detection. Insul. Surge Arresters 2, 180–185 (2017)Google Scholar
  4. 4.
    Yuntu, J., Jun, H., Jian, D., et al.: The identification and diagnosis of self-blast defects of glass insulators based on multi-feature fusion. Elect. Power 50(5), 52–58 (2017)Google Scholar
  5. 5.
    Feng, W., Hongcai, L., Xiang, P., et al.: Optimization research on condition-based maintenance of overhead transmission line with online detection without power cut. Elect. Power 49(10), 84–89 (2016)Google Scholar
  6. 6.
    Haipeng, S., Weiguo, L., Zhanzhan, Q.: Study on the on-line detection device of hand-held insulator. Insul. Surge Arresters 1, 22–26 (2012)Google Scholar
  7. 7.
    Jiangang, Y., Ye, Z., Tangbing, L.I., et al.: Analysis of high-voltage ceramic insulators infrared detection blind areas. High Volt. Eng. 43(9), 2903–2910 (2017)Google Scholar
  8. 8.
    Jing, C., Nan, Z., Zhong, M., et al.: Ultraviolet detection technology of 750 kV resistant to porcelain insulator based on artificial pollution test. Elect. Power 49(9), 23–29 (2016)Google Scholar
  9. 9.
    Peng, L.: Study on Heating and Discharge Characteristics of Zero Value Insulators Based on Infrared and Ultraviolet Imaging. North China Electric Power University, Beijing (2016)Google Scholar
  10. 10.
    Yong, F., Zongren, P., Peng, L., et al.: Voltage-sharing characteristics of porcelain insulators for UHV AC transmission lines. High Volt. Eng. 36(1), 270–274 (2010)Google Scholar
  11. 11.
    Xiaowei, L., Linong, W., Junhua, W., et al.: Research on automatic detection technology for faulty porcelain insulators on AC transmission lines. Electr. Meas. Instrum. 53(11), 110–115 (2016)Google Scholar
  12. 12.
    Liang, Z., Yong, L., Zhigang, R., et al.: Analysis on the influence factor of insulators detection by robots and electric field method. Insul. Surge Arresters 2, 148–155 (2017)Google Scholar
  13. 13.
    Zhengzi, C., Weiguo, L., Wenbin, C.: Design and implementation of insulator resistance measurement robot based on WiFi wireless remote control. Elect. Power 48(12), 23–26 (2015)Google Scholar
  14. 14.
    Rui, G., Bing, T., Lei, Z., et al.: Study on cap and pin porcelain insulator detecting technology suitable for robots on transmission line. Insul. Surge Arresters 2, 141–147 (2017)Google Scholar
  15. 15.
    Yao, C., Dehua, Z., Jie, N.: The impact of zero and low resistance insulator on potential and electric field distribution of long insulator strings in the 500 kV transmission line. Insul. Surge Arresters 3, 29–34 (2015)Google Scholar
  16. 16.
    Ming, Z., Richeng, L., Jie, X., et al.: Feasibility research and develop of working detecting robot for low/zero insulator. High Volt. Appar. 52(6), 160–166 (2016)Google Scholar
  17. 17.
    Linhua, Z., Yandong, C.: The research and design of overhead transmission line insulator detecting robot. Electron. Des. Eng. 23(16), 164–166 (2015)Google Scholar
  18. 18.
    Tao, C., Daqing, S., Deli, Z., et al.: Research on the application of disc type porcelain insulators detection robot in overhead transmission lines. Insul. Surge Arresters 2, 11–16 (2013)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Pengxiang Yin
    • 1
    • 2
    • 3
    Email author
  • Xiao Hong
    • 1
    • 2
    • 3
  • Lei Zheng
    • 1
    • 2
    • 3
  • Biwu Yan
    • 1
    • 2
    • 3
  • Hao Luo
    • 1
    • 2
    • 3
  1. 1.NARI Group Corporation Ltd.NanjingChina
  2. 2.Wuhan NARI Limited Liability Company, State Grid Electric Power Research InstituteWuhanChina
  3. 3.Hubei Key Laboratory of Power Grid Lightning Risk PreventionWuhanChina

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