INVESTIGATION OF THE EFFECT OF CABLE JOINT ON THE MAGNETIC FIELDS AROUND UNDERGROUND POWER CABLES

Document Type : Original Article

Authors

1 Electrical and computer dept., Graduate university of advanced technology

2 dept. electrical and computer engineering, Kerman graduate university of advanced technology

3 Electrical and Computer dept., Graduate university of advanced technology

Abstract

Since a high percentage of faults in underground power cables occur at the joint location of these cables, identifying the cable joints location is one of the most important challenges for power distribution companies. In this paper, a passive method to detect the underground electrical cable joints based on the variations of magnetic fields at the ground surface is proposed. For this purpose, the magnetic fields above a long cable containing a joint at the middle were first simulated using CST software. Simulation results showed that when scanning along the cable, the magnetic field changes at the joint position which can be used for finding its location. Simulations were repeated for different joints located at different depths and in different soils. The advantage of the proposed method is that it does not need any external source and causes no interruption of electric power in underground power cables.

Keywords

References

   [1]      H. Al-Khalidi and A. Kalam, “The impact of underground cables onpower transmission and distribution networks”, in Proc.IEEE Int. Power Energy Conf. 2006.##
   [2]      R. Bernstein, M. Oristaglio, D. E. Miller and J. Haldorsen, “Imaging radar maps underground objects in 3-D”, IEEE Comput. Appl. Power, vol. 13, iss. 3, pp. 20–24, 2000.##
   [3]      S. Qinghai, U. Troeltzsch and O. Kanoun, “Detection and localization of cable faults by time and frequency domain measurements”, 7th International Multi-Conference on Systems Signals and Devices (SSD), 2010.##
   [4]      C. Yuanchao, W. Sansheng and Z. Mingji, “Research of miniature magnetic coil sensor used for detecting power cables underground”, in Proc. ICECE. 2011, pp. 6065–6068.##
   [5]      H. Baojun, L. Chang, T. Ye, F. Mingli, X. Yang, Z. Yuhang, “The Relationship between Partial Discharge Behavior and the Degradation of 10 kV XLPE Cable Joints”, IEEE International Conference on Condition Monitoring and Diagnosis. Xi'an – Chin, 2016.##
   [6]      “Time Domain Reflectometry Theory, Application Note1304-2, 2002”, http://www.agilent.com.##
   [7]      G. M. Hashmi, R. Papazyan and M. Lehtonen, “Comparing wave propagation characteristics of MV XLPE cable and covered-conductor overhead line using time domain reflectometry technique”, International Conference on Electrical Engineering, 2007.##
   [8]      K. Wong, “Prioritization of underground transmission cable renewal projects in power electric utility companies. PES General Meeting Conference & Exposition”, IEEE, CCECE Toronto, Canada, 2014.##
   [9]      D. Prabhavathi, M. Surya Kalavathi and K. Prakasam, “Detection and Location of Faults in Three-Phase 11 kV Underground Power Cables by Discrete Wavelet Transform”, Springer link. Proceeding of International Conference on Intelligent Communication, Control andDevices, 2017.##
[10]      N. A. Jaffrey, S. Hettiwatte, “Corrosion Detection in Steel Reinforced Aluminium Conductor Cables”, Australasian Universities Power Engineering Conference. Curtin University, Perth, Australia, 2014.##
[11]      X. Sun, W. K. Lee, Y. Hou, and P. W. T. Pong, “Underground Power Cable Detection and Inspection Technology Based on Magnetic Field Sensing at Ground Surface Level” IEEE transactions on magnetic, vol. 50, iss. 7, 2014.##
[12]      X. Sun, C. K. Poon, G. Chan, C. L. Sum, W. K. Lee,  L. Jiang, and P. W. T. Pong, “Operation-state monitoring and energization-status identification for underground power cables by magnetic field sensing”, IEEE SENSORS JOURNAL, vol.13, no. 11, pp. 4527-4533, 2013.##
[13]      Q. Gao , Z. Yu, X. Li, Q. Liu, F. Yuan, Y. Han, L. Shi, J. Shen, Z. Liang, “On Line Monitoring of Partial Discharge in High Voltage Cables”, TELKOMNIKA, vol. 14, no. 3A, pp. 108-114, 2016.##
[14]      M. Yousaf, A. Khan, J. Koo, “Neural network based diagnosis of partial discharge defectspatterns at XLPE cable under DC stress”, Electr. Eng, vol. 99, pp.119–132, 2017.##
[15]      E. I. Mimos, D. K. Tsanakas, A. E. Tzinevrakis, “Optimum phase configurations for the minimizationof the magnetic fields of underground cables”, Electr. Eng, vol. 91, pp. 327–335, 2010.##
[16]      S. M S.  Barzegar, M Khodsuz, “Minimizing of Magnetic and Electric Fields Due to Transmission Lines Using Multi-Objective Optimization Based on NSGA-II Algorithm”, Journal of Applied Electromagnetics, accepted 2019, (In Persian).##
[17]      M. Abidi, Y. Norouzi, O. Salimi, "Passive Localization of Secondary SurveillanceRadar Interrogators," Journal of Radar, vol. 3, no. 4, pp. 11-23, 2016, (In Persian).##
[18]      “CST Software”,http://www.cst.com/ 2019.##
[19]      J. Granado, C. Álvarez-Arroyo, A. Torralba, J. A. Rosendo-Mac´ıas, ChávezaJ, M. Burgos-Payán, “Electric Power Systems Research”, ScienceDirect , 220–227, 2015.##
[20]      Jin Fu,Chengpeng,Chen Wei, Yang Q I, Hu Xiaorui, Wang Qian, Yang Fan, “Investigation of the Effects of Insulation Defects onthe 3-D Electromagnetic-Thermal Coupling Fieldsof Power Cable Joint”, IEEE, 11th Conference on Industrial Electronics and Applications (ICIEA), 2016.##
[21]      T. Weiland, “A Discretization Method for the Solution of Maxwell's Equations for Six-Component Fields”, in Electronics and Communications (AEÜ), vol. 31, pp. 116-120, 1977.##
[22]      ZakharovP N, DudovR A, MikhailovEV, KorolevA F, SukhorukovA P, “Finite Integration Technique Capabilities for Indoor Propagation Prediction”, IEEE, Loughborough Antennas & Propagation Conference, Loughborough UK, 2009.##
[23]      S. H. Liou,  X. Yin,  S. E. Russek,  R. Heindl,  F. C. S. Da Silva,  D. E. Pappas, L. Yuan, J. Shen, “Picotesla Magnetic Sensors for Low-Frequency Applications”, IEEE Trans. Magn., vol. 47, Iss. 10, pp. 3740-3743, 2011.##
[24]      P. Delooze, L. V. Pania, D. J. Mapps, “AC biased sub-nano-tesla magnetic field sensor for low-frequency applications utilizing magnetoimpedance in multilayer films”, IEEE Trans. Magn., vol. 41, Iss. 10, pp. 3652-3654, 2005.##
Applied Electromagnetics
Volume 8, Issue 2 - Serial Number 21
December 2021
Pages 89-96

Files

History

  • Receive Date: 31 March 2020
  • Revise Date: 23 March 2020
  • Accept Date: 20 May 2020

Share

How to cite

Statistics