Detection Sensitivity of Input Impedance to Local Defects in Long Cables

Broadband impedance spectroscopy (BIS) has become a new method for detecting cable insulation defects, but the sensitivity of this method to local defects in cables has not been fully studied. Taking long submarine cable as an example, firstly, the intrinsic correlations between the impedance spectroscopy characteristics and the cable parameters are studied, and the influence of local defects on the peak of impedance spectrum is studied by establishing a simplified model of long cables with insulation defects. Secondly, the formula for calculating the sensitivity of input impedance to the insulation defects is proposed and the characteristics of sensitivity are studied. Finally, the sensitivity of the input impedance to different positions and degrees of defects at the first resonant frequency is analyzed, which can be verified by simulation and experimental. The Results show that, for long cable with length l, under the condition of open-circuit, the sensitivity trends to zero when the defects occur at 25% or 75% of the cable length l, and under the condition of short-circuit, the sensitivity trends to zero when the defects occur to the end of the cable. Therefore, in the application of BIS, the above positions should be paid attention to, and the cable length can be changed and measured again to confirm its insulation status.

[1]  Y. Ohki,et al.  Diagnosis of cable aging by broadband impedance spectroscopy , 2011, 2011 Annual Report Conference on Electrical Insulation and Dielectric Phenomena.

[2]  Yoshimichi Ohki,et al.  Location feasibility of degradation in cable through Fourier transform analysis of broadband impedance spectra , 2012 .

[3]  van der,et al.  On-line detection and location of partial discharges in medium-voltage power cables , 2005 .

[4]  Jong-Gwan Yook,et al.  Detection and Location of Multiple Wiring Faults via Time–Frequency-Domain Reflectometry , 2009, IEEE Transactions on Electromagnetic Compatibility.

[5]  V. V. S. Sanyasi Rao,et al.  Thermal ageing predictions of polymeric insulation cables from Arrhenius plot using short-term test values , 2010, 2010 2nd International Conference on Reliability, Safety and Hazard - Risk-Based Technologies and Physics-of-Failure Methods (ICRESH).

[6]  Sabine Himmel,et al.  Submarine Power Cables Design Installation Repair Environmental Aspects , 2016 .

[7]  Kun Zhao,et al.  Distributed Online Monitoring Method and Application of Cable Partial Discharge Based on $\varphi$ -OTDR , 2019, IEEE Access.

[8]  Y. Ohki,et al.  Comparison of broadband impedance spectroscopy and time domain reflectometry for locating cable degradation , 2012, 2012 IEEE International Conference on Condition Monitoring and Diagnosis.

[9]  Dandan Zhang,et al.  Local degradation diagnosis for cable insulation based on broadband impedance spectroscopy , 2015, IEEE Transactions on Dielectrics and Electrical Insulation.

[10]  Yoshimichi Ohki,et al.  Effects of the structure and insulation material of a cable on the ability of a location method by FDR , 2016, IEEE Transactions on Dielectrics and Electrical Insulation.

[11]  Yoshimichi Ohki,et al.  Highly sensitive detection of distorted points in a cable by frequency domain reflectometry , 2014, Proceedings of 2014 International Symposium on Electrical Insulating Materials.

[12]  Y. Ohki,et al.  Improvement in sensitivity of broadband impedance spectroscopy for locating degradation in cable insulation by ascending the measurement frequency , 2012, 2012 IEEE International Conference on Condition Monitoring and Diagnosis.

[13]  J. Densley,et al.  Ageing mechanisms and diagnostics for power cables - an overview , 2001 .

[14]  Liu Bing OVERVIEW OF POWER CABLE FAULT LOCATION , 2004 .

[15]  Zhou Kai,et al.  A New Location Method of Local Defects in Power Cables Based on Reflection Coefficient Spectrum , 2017 .

[16]  Yibo Zhang,et al.  A Dynamic Equivalent Model for DFIG-Based Wind Farms , 2019, IEEE Access.

[17]  R. Eriksson,et al.  Dielectric spectroscopy for diagnosis of water tree deterioration in XLPE cables , 2001 .

[18]  P. F. Fantoni,et al.  Wire System Aging Assessment and Condition Monitoring (WASCO) , 2006 .