Skip to main content

Research on the Security Diagnosis Platform for Partial Discharge of 10 kV Cables in Urban Distribution Networks

  • Conference paper
  • First Online:
Big Data and Security (ICBDS 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1796))

Included in the following conference series:

  • 304 Accesses

Abstract

Cables in 10 kV distribution networks play a key function in ensuring the secure operation of distribution network systems. The traditional methods of diagnosing partial discharges in 10 kV cables need to be improved at the levels of cost, efficiency, diagnostic accuracy, and anti-interference capability. Therefore, this paper studies and designs a security diagnosis platform that can effectively extract, identify and diagnose the signal characteristics of cable discharge models. The architecture and diagnostic process of the proposed system are described in details. Through the security diagnostic verification of the partial discharge capability of 10 kV cables in distribution networks, the effectiveness and efficiency of the proposed platform is validated. The application results show its capability in quickly locating and eliminating hidden cable insulation problems in distribution networks. The proposed platform, through the integration of different modules, is expected to significantly improve the security and reliability of power system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Li, Y., Li, Q., Chen, Y., Zhang, S.: Research and application of calibration and comparison system for partial discharge live detection equipment. In: 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), pp. 435–438 (2021)

    Google Scholar 

  2. Deng, Z., Cai, M., Wang, H., Fan, R., Zheng, S., Hao, Y.: Partial discharge detection and structure optimization of a bushing of 10 kV switchgear cabinet. In: 2019 2nd International Conference on Electrical Materials and Power Equipment (ICEMPE), pp. 628–634 (2019)

    Google Scholar 

  3. Cheng, Y., et al.: Statistical analysis of partial discharge faults of HV cables. In: 2020 IEEE Electrical Insulation Conference (EIC), pp. 422–425 (2020)

    Google Scholar 

  4. Yamashita, K., Watanuki, S., Miyake, T., Sakoda, T., Kawano, W.: Development of on-line partial discharge locator for electric power cable. In: 2018 IEEE Electrical Insulation Conference (EIC), pp. 216–219 (2018)

    Google Scholar 

  5. Wen, W.: Analysis of 10 kV cable partial discharge on-line monitoring and positioning system based on urban distribution network. Big Technol. (25), 13–15 (2016)

    Google Scholar 

  6. Lin, S., Xie, C., Li, D., Fu, Y.: Load preprocessing method based on grey correlation and fuzzy cluster analysis. Electr. Meas. Instrum. 54(11), 3642 (2017)

    Google Scholar 

  7. Kim, H., Marwah, M., Arlitt, M.F., et al.: Unsupervised disaggregation of low frequency power measurements. In: Eleventh Siam International conference on Data Mining, pp. 747–758 (2012)

    Google Scholar 

  8. Wang, L., Lv, H., Wang, Z., et al.: Application research on partial discharge detection and location technology of switchgear. Guangdong Electr. Power (4), 91–94 (2014)

    Google Scholar 

  9. Lv, F., Li, H., Wang, Z., et al.: Research on partial discharge detection and location of switchgear based on TEV and ultrasonic. Electr. Meas. Instrum. 50(11), 73–78 (2013)

    Google Scholar 

  10. Liu, Y., Wang, H., Wang, J., et al.: Design and application of on-line monitoring system for partial discharge in high voltage switchgear. Comput. Digit. Eng. 49(9): 1788–1792+1888 (2021)

    Google Scholar 

  11. Xie, R., Yang, C., Shen, Q., Li, S., Luo, Y., Yu, B.: Comparative study on the switchgear partial discharge characteristics based on transient earth voltage and pulse current detection methods. Electr. Power 55(3), 37–47 (2022)

    Google Scholar 

  12. He, X., Xu, Z.: Study on insulating property detection and fault diagnosis technology for HV switchgear. Zhejiang Electr. Power (5): 6–10 (2010)

    Google Scholar 

  13. Wu, D., et al.: Partial discharge monitoring and characteristic parameters extraction for high-voltage switchboards based on ultra-high frequency method. Electr. Eng. (7), 14–16 (2021)

    Google Scholar 

  14. Qiu, S., Zheng, Y., Gao, D., Xu, X., Mao, S.: Research on realization of on-line monitoring system for 10 kV ring network cabinet. Electr. Power Equip. Manage. (5), 23–25 (2022)

    Google Scholar 

  15. Xiong, J., Wang, Y., Huang, H., et al.: Analysis of on-line PD detection technology on switchgears and its application to guangzhou distribution system. Mod. Electr. Power 27(5), 25–29 (2010)

    Google Scholar 

  16. Tian, Y., Chen, W., Ning, X., Han, H., Bian, K., Zhou, L.: Review of non-contact on-line detection technology of outdoor overhead equipment in distribution network. High Volt. Eng. (8), 2495–2501 (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Guofei Guan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Wang, X., Guan, G., Li, C., Zhang, H., Jiang, C., Song, Q. (2023). Research on the Security Diagnosis Platform for Partial Discharge of 10 kV Cables in Urban Distribution Networks. In: Tian, Y., Ma, T., Jiang, Q., Liu, Q., Khan, M.K. (eds) Big Data and Security. ICBDS 2022. Communications in Computer and Information Science, vol 1796. Springer, Singapore. https://doi.org/10.1007/978-981-99-3300-6_46

Download citation

  • DOI: https://doi.org/10.1007/978-981-99-3300-6_46

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-3299-3

  • Online ISBN: 978-981-99-3300-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics