SlideShare a Scribd company logo
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE)
e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 7, Issue 6 (Sep. - Oct. 2013), PP 01-07
www.iosrjournals.org
www.iosrjournals.org 1 | Page
The study of semiconductor layer effect on underground cables
with Time Domain Reflectometry (TDR)
Rodrigo Paludo1
, Guilherme Cunha da Silva2
, Vitoldo Swinka Filho3
1,2and 3
(Department of Materials, Universidade Federal do Paraná, Brasil)
Abstract: Time Domain Reflectometry is a technique used for fault location and partial discharge analysis in
underground electric distribution cables. The technique is based on the analysis of the propagation of short
electric pulses. In underground cables, semiconductor layer properties and degradation cause perturbations in
the signal wave shape. These perturbations complicate the interpretation of reflectograms and, as a
consequence, fault location. This work presents a circuit model of distributed elements that includes the
electrical resistance of the semiconductor layers. The results of computer simulations using the proposed model
are compared with measurements in new and aged XLPE cables. This comparison shows that the proposed
model can represent the phenomena satisfactorily.
Keywords : Underground cables, Simulation of Time Domain Reflectometry, Attenuation spectrum.
I. INTRODUCTION
Rapid fault localization in underground cables reduces grid maintenance time and, as a consequence,
reduces service interruption time. In this context, Time Domain Reflectometry (TDR) is an appropriate
technique to quickly find a fault by analyzing the behavior of short electric pulses propagating in the cable. The
electrical pulses propagate along the cable and can be absorbed or reflected as a result of changes in the
characteristic impedance [1].
Measurements in aged cables show changes in the pulse behavior that make TDR analysis difficult.
In this work, the semiconductor layer’s electric resistance is considered in explaining the pulse attenuation and
dispersion during propagation in new and aged cables, using cable measurements and computational
simulations.
II. MATERIALS AND METHODS
The comparison was performed using XLPE (cross-linked polyethylene) insulated cables, both new
and aged, whose characteristics are shown in Table 1. The cable labeled XLPE-A was manufactured in the
1970s and was removed from operation. The cable labeled XLPE-N is a new cable that has not been used in
operation.
Table 1 – Cable characteristics.
Cables XLPE-N (new) XLPE-A (aged)
Internal diameter (conductor) 8 mm 9 mm
External diameter (insulation) 17.5 mm 19 mm
Internal semiconductor layer thickness 1.2 mm 0.6 mm
External semiconductor layer thickness 1.5 mm 0.5 mm
Characteristic Impedance 33 Ω 36 Ω
Cable length 67 m 33 m
Material of the internal conductor Aluminum
Aluminum conductivity 6
106.59 x 1
m
Dielectric XLPE
XLPE conductivity 15
10
 1
m
XLPE relative permittivity 2.4
Voltage class 12/20 kV
Vacuum magnetic permeability 7
104 
x ATm/
Relative magnetic permeability of the conductor 1
Vacuum electric permittivity 12
1085.8 
x 22
/ NmC
Frequency 25 MHz
To perform TDR, an oscilloscope was used with an acquisition rate of 1 GS/s, and the pulses were generated
with a digital function generator. Fig. 1 shows the classic model of a distributed circuit element [2, 3].
The study of semiconductor layer effect on underground cables with Time Domain Reflectometry
www.iosrjournals.org 2 | Page
Figure 1 – Classic model of a distributed element.
The electrical characteristics for a coaxial line are given by [2, 3]:







ba
R
R s 11
.2
'

(1)
where
'R → Resistance per unit length [ m/ ];
'L → Inductance per unit length [ mH / ];
'G → Conductance per unit length [ mS / ];
'C → Capacitance per unit length [ mF / ];
a → Internal conductor radius [m];
b → External conductor radius [m];
 → Dielectric magnetic permeability [ AmT /. ];
 → Dielectric conductivity [ 1
. 
 m ]; and
 → Dielectric electric permittivity [ 22
./ mNC ].







a
b
L ln
2
'


(2)







a
b
G
ln
2
'

(3)







a
b
C
ln
2
'

(4)
The resistance per unit length of the cable is determined using the intrinsic resistance (Rs), i.e., the skin
resistance of the conductor [2, 3],
c
c
s
f
R

 ..
 (5)
where
f → Frequency [ Hz ];
c → Conductor magnetic permeability [ AmT /. ]; and
c → Conductor conductivity [ 1
. 
 m ].
III. RESULTS AND DISCUSSION
The Fig. 2 shows the schematic diagram of the experimental setup for TDR.
Figure 2 – Experimental layout for TDR.
Channel 2 from the oscilloscope was connected to the far end of the cable.
3.1 XLPE-N Cable
Using the values from Table 1 and equations (1 - 5), the values of the parameters per unit of cable
length were obtained and are shown in Table 2.
Table 2 – Parameter values of the XLPE-N cable.
Parameters of the cable Values Units
R’ 2
1027.7 
x Ω / m
L’ 7
1073.1 
x H / m
C’ 10
1054.1 
x F / m
G’ 15
1026.7 
x S / m
Fig. 3 shows the circuit diagram for the XLPE-N cable where two elements were used for one meter of length.
The study of semiconductor layer effect on underground cables with Time Domain Reflectometry
www.iosrjournals.org 3 | Page
Figure 3 – Schematic circuit showing an element used in the simulation of the XLPE-N cable.
The characteristic impedance of the cable is calculated using equation (6) [3], and the value obtained is used to
link the impedance of the function generator with the cable.
''
''
0
jwCG
jwLR
Z


 (6)  )045.042.33(0 jZ
Fig. 4 shows the result of the simulation for the XLPE-N cable with an open far end.
Figure 4 – Simulation reflectogram of the XLPE-N cable with an open far end.
Fig. 5 shows the reflectogram of the XLPE-N cable measured in the laboratory. Comparing Fig. 5 with Fig. 4,
the agreement between the simulation and lab measurements can be observed.
Figure 5 – Experimental reflectogram of the XLPE-N cable with an open far end.
Fig. 6 shows the results of a simulation with the far end short circuited, where the reflected pulse presents a
negative polarity.
Figure 6 – Simulation reflectogram of the XLPE-N cable in short circuit.
The experimentally obtained reflectogram with the cable in short circuit is shown in Fig. 7.
The study of semiconductor layer effect on underground cables with Time Domain Reflectometry
www.iosrjournals.org 4 | Page
Figure 7 – Experimental reflectogram of the XLPE-N cable in short circuit.
Comparing the simulated and experimental graphs, it can be observed that the simulation results are consistent
with the data obtained experimentally from the XLPE-N cable.
3.2. XLPE-A Cable
The same procedure used for the XLPE-N cable was adopted for the XLPE-A cable. The values of the
calculated parameters per unit length of cable are presented in Table 3.
Table 3 – Parameters values of cable XLPE-A.
Parameters of cable Values Units
R’ 2
1033.6 
x Ω / m
L’ 7
1087.1 
x H / m
C’ 10
1042.1 
x F / m
G’ 15
1069.6 
x S / m
The circuit diagram for the XLPE-A cable is shown in Fig. 8, where two elements were used for one meter of
length.
Figure 8 – Schematic circuit showing an element used in the simulation of the XLPE-A cable.
The value of the characteristic impedance [4] that was calculated for the aged cable is:
 )0409.028.36(0 jZ
Fig. 9 shows the simulated reflectogram of the XLPE-A cable in an open circuit.
Figure 9 – Simulation reflectogram of the XLPE-A cable in open far end.
Fig. 10 shows the reflectogram of the XLPE-A cable obtained with the same arrangement as the reflectogram
presented in Figure 5. In this case, the simulated and experimental reflectograms do not agree, unlike with the
XLPE-N cable.
The velocity of pulse propagation in the XLPE-A cable was calculated using equation (7) [4, 5], giving a value
of sm /195 .
The study of semiconductor layer effect on underground cables with Time Domain Reflectometry
www.iosrjournals.org 5 | Page
.
1
pv (7)
With this value of the velocity, the pulse should be observed at the far end of the cable with ns169 of delay,
shown by an arrow in Fig. 10.
Figure 10 – Experimental reflectogram of the XLPE-A cable with an open far end.
Because the theory for transmission lines [6, 7] was applied equally to the two kinds of the cables (new and
aged), the reflectograms should have the same waveform. However, Fig. 9 and Fig. 10 show that the measured
behavior of the cable disagrees with that predicted by the classical model of distributed elements. Therefore,
work was directed toward explaining this phenomenon.
IV. MODEL OF DISTRIBUTED ELEMENTS PROPOSED
The first hypothesis to explain the observed phenomenon in the aged cable was related to the resistivity
of the semiconductor layers and the conductance of the dielectric. The comparison value of resistivity in Table
4, between aged (XLPE-A1 and XLPE-A2) and new (XLPE-N) cables, show that for outer layer the orders of
magnitude are equal. For the inner layer the aged cable show lower value than the new cable and however this
hypothesis was discarded.
Table 4 – Values of resistivity measure.
Semiconductor layer XLPE-A1 XLPE-A2 XLPE-N
Inner 5.21 x 10-3
3.77 x10-3
3.94 x 10-1
Outer 2.77 x 10-2
2.3 x 10-2
5.18 x 10-2
The hypothesis of change in the electrical conductance was evaluated by simulation using values in the range of
10-15
S to 10-3
S and this change was not able to explain the effect of the Fig. 10. A new model was proposed in
which the semiconductor layers are represented by resistances iR (resistance of inner semiconductor layer) and
oR (resistance of outer semiconductor layer) connected in series with the capacitance and conductance of the
distributed-element model, as shown in Fig. 11. In this proposed model, the hypothesis states that there are
mechanisms in the semiconductor layers that are activated by the aging of the cable, and this can change the
way that the pulses propagate in the cable. These changes make the cables become dissipative and dispersive [7,
11].
The waveform signal, shown in Fig. 10, was used as a measure to relate the simulations to a resistance value that
is appropriate for the representation of the semiconductor layers.
The simulated resistance )( oi RR  was varied from 20 Ω to 1 kΩ to find a value where the simulated
reflectogram matched the experimental reflectogram in Fig. 10.
As the value of the resistance was increased, the simulated reflectogram more closely approximated the
experimental reflectogram.
Figure 11 – Schematic drawing of the classical model and the proposed model.
The study of semiconductor layer effect on underground cables with Time Domain Reflectometry
www.iosrjournals.org 6 | Page
The criterion used for selecting a value of resistance was to compare the ratio of the amplitudes of input pulse
with the far end pulse. As the reflectogram in Fig. 10 shows, the rate is approximately 3.5 times, and this value
was taken as a reference. The resistance value that produced the simulation results closest to the experimental
results for the XLPE-A cable was 100 Ω.
Figure 12 – Simulated reflectogram of an XLPE-A cable with an open far end proposed model and a
semiconductor layer resistance of 100 Ω.
The resistivity measurements of the semiconductor layers showed that the intrinsic resistance of the XLPE-A
cable is not responsible for the change in the waveform. This phenomenon, shown in fig. 10, was attributed to
the coupling of the electrical resistance of the semiconductor layers with other parts of the cable.
In cables that are more than 25 years old, there are regions of oxidation in the semiconductor layers (outer and
inner), which can be observed in Fig. 13.
Figure 13 – XLPE cables (aged on the left and new on the right).
It was observed that the tape in the semiconductor layer of the XLPE-A cable has a low intrinsic resistance
value per meter; however, the layer is positioned between the electromagnetic shielding and the dielectric. This
layer undergoes an increase in coupling resistance due to oxidation caused by the humidity that occur during the
cable’s lifetime. This oxidation is not observed in the new cable.
The energy dissipation factor of the pulse was studied using simulations with different values of resistance
representing the semiconductor layers of the cable. This study was performed by comparing the ratio between
the energy of a pulse position of the cable and the pulse energy injected into the cable. The results of this study
are shown in Fig. 14.
Figure 14 – Comparison of the attenuation along the cable with different resistance values.
The study of semiconductor layer effect on underground cables with Time Domain Reflectometry
www.iosrjournals.org 7 | Page
In Fig. 14, it can be observed that the ratio E/E0 decreases with increasing semiconductor layer resistance. The
dissipative behavior for different cable lengths is shown in Fig. 15. This graph was obtained by simulating the
proposed model of the cable with the electrical resistance of the semiconductor layers equal to 100 Ω. The graph
shows the spectrum of attenuation, which is a characteristic of the cable.
Figure 15 – Attenuation spectrum simulated for a cable with semiconductor layer resistance of 100 Ω.
What can be concluded from the attenuation spectrum of the cable, from 100 kHz to 10 MHz, is that as the
length of the cable increases, the value of the cutoff frequency decreases. For example, at 10 meters from the
beginning of the cable, the cutoff frequency is approximately 10 MHz, while at 100 meters from the beginning
of the cable, the cutoff frequency decreases to approximately 5 MHz. Therefore, it can be observed that the
attenuation constant of the cable is related to the pulse frequency.
V. CONCLUSION
The results of the reflectometry performed on aged cable did not agree with the simulation results using
the classical model of distributed elements.
The proposed model produces better agreement with the results of reflectometry that were obtained
from the aged cables. The proposed model introduces a resistance to represent the semiconductor layers at the
inner and outer surfaces of the XPLE dielectric. This resistance can be associated with the degradation
mechanisms in these layers.
The results of the calculations of the resistance per unit length of material from the semiconductor
layers, which was performed using the results of the measured electric resistivity, show that although the values
of resistance are small, they have a significant contribution in this phenomenon. Predominantly, the resistance is
caused by the mechanisms of degradation, such as oxidation. This is confirmed by the results of simulations and
reflectometry made on the new cable, which does not show the dispersive behavior.
The results of simulations with the proposed model showed that the attenuation increases proportionally with the
resistance presented by the semiconductor layers and the degradation mechanisms. Additionally, it was observed
that the attenuation is a function of frequency, which does not occur in the classical model.
REFERENCES
[1] V. DUBICKAS, H. EDIN and R. PAPAZYAN, “Cables Diagnostics with On-Voltage Time Domain Reflectometry,” Royal
Institute of Technology, 2006.
[2] D. k. CHENG, “Field and Wave Electromagnetics,” Second Edition, Addison-Wesley Publishing Company, Boston, pp. 370 - 428,
1989.
[3] F. T. ULABY, E. MICHIELSSEN and U. RAVAIOLI, “Fundamentals of Applied Electromagnetics,” Sixth Edition, Pearson,
University of Michigan, pp. 67 - 131, 1994.
[4] P. WAGENAARS, P.A.A.F Wouters, P.C.J.M. Van Der Wielen and E.F. Steennis, “Estimation of Transmission Line Parameters
for Single-core XLPE Cables,” International Conference on CMD, pp. 1132 – 1135, Beijing, 2008.
[5] M. E. KOWALSKI, “A Simple and Efficient Computational Approach to Chafed Cable Time-Domain Reflectometry Signature
Prediction,” Stinger Ghaffarian Technologies (SGT), Inc. NASA Ames Research Center, 2008.
[6] V. DUBICKAS, “Development of On-line Diagnostic Methods for Medium Voltage XLPE Power Cables” Doctoral Thesis,
Stockholm, Sweden 2009.
[7] R. PALUDO, “Refletometria no Domínio do Tempo: Análise das Camadas Semicondutoras de Cabos Isolados,” Dissertation of
Master, Curitiba 2009.
[8] R. PAPAZYAN and R. ERIKSSON, “Calibration for Time Domain Propagation Constant Measurements on Power Cables,” IEEE
Transactions on Instrumentation and Measurement, vol. 52, pp. 415 – 418, 2003.
[9] R. HEINRICH, S. BONISCH, D. POMMERENKE, R. JOBAVA and W. KALKNER, “Broadband Measurement of the
Conductivity and the Permittivity of Semiconducting Materials in High Voltage XLPE Cables,” Eighth International
Conference on (IEE Conf. Publ. No. 473), pp. 212 – 217, 2000.
[10] G. MUGALA, R. ERIKSSON and P. Petersson, “Comparing Two Measurements Techniques for High Frequency Characterization
of Power Cable Semi conducting and Insulating Materials,” IEEE Trans. on Dielectrics and Electrical Insulation, vol. 13, pp. 712 –
716, 2006.
[11] O. HIO NAM, T. R. BLACKBURN and B. T. PHUNG, “The Effect of Insulation Loss and Semi-Conducting Layers on Pulse
Propagation Behavior of Power Cables,” Power Engineering Conference, pp. 1 – 5, Australasian Universities, 2007.

More Related Content

PDF
Nanowire_Paper
PDF
Mutual Coupling Reduction in Antenna Using EBG on Double Substrate
PDF
ijaerv10n9spl_473
PDF
Report_Paulo_Melo_LabI
PDF
Transmission Line Model for Patch Antenna on Metameterial Substrate
PDF
LAB File
PDF
A010510105
PDF
ElectricallySmallAntennaPaper
Nanowire_Paper
Mutual Coupling Reduction in Antenna Using EBG on Double Substrate
ijaerv10n9spl_473
Report_Paulo_Melo_LabI
Transmission Line Model for Patch Antenna on Metameterial Substrate
LAB File
A010510105
ElectricallySmallAntennaPaper

What's hot (16)

PDF
Design of an improved transistor performance for rf application using bipole3
PDF
An approach to design a rectangular microstrip patch antenna in s band by tlm...
PDF
Grounding of Multi Cable Transits for on-shore use
PDF
An ultra wideband balanced bandpass filter
PDF
Flexible Wearable Antenna on Electromagnetic Band Gap using PDMS substrate
PDF
IAC-15.B2.5.1_paper
PDF
Performance evaluation of reversible logic based cntfet demultiplexer 2
PDF
Design of c slotted microstrip antenna using artificial neural network model
PDF
Extended electrical tuning of quantum cascade lasers with digital
PDF
The Physics of Transparent Conducting Oxides
PDF
International Refereed Journal of Engineering and Science (IRJES)
PDF
IRJET-Design of Capacitor Less LDO Regulator by using Cascode Compensation Te...
PDF
Mutual Coupling Reduction of Micro Strip Antenna Array by using the Electroma...
PDF
Non-split Perfectly Matched Layer Boundary Conditions for Numerical Solution ...
PDF
NON-SPLIT PERFECTLY MATCHED LAYER BOUNDARY CONDITIONS FOR NUMERICAL SOLUTION ...
PDF
Surface and volume energy loss , optical conductivity of rhodamine 6 g dye (...
Design of an improved transistor performance for rf application using bipole3
An approach to design a rectangular microstrip patch antenna in s band by tlm...
Grounding of Multi Cable Transits for on-shore use
An ultra wideband balanced bandpass filter
Flexible Wearable Antenna on Electromagnetic Band Gap using PDMS substrate
IAC-15.B2.5.1_paper
Performance evaluation of reversible logic based cntfet demultiplexer 2
Design of c slotted microstrip antenna using artificial neural network model
Extended electrical tuning of quantum cascade lasers with digital
The Physics of Transparent Conducting Oxides
International Refereed Journal of Engineering and Science (IRJES)
IRJET-Design of Capacitor Less LDO Regulator by using Cascode Compensation Te...
Mutual Coupling Reduction of Micro Strip Antenna Array by using the Electroma...
Non-split Perfectly Matched Layer Boundary Conditions for Numerical Solution ...
NON-SPLIT PERFECTLY MATCHED LAYER BOUNDARY CONDITIONS FOR NUMERICAL SOLUTION ...
Surface and volume energy loss , optical conductivity of rhodamine 6 g dye (...
Ad

Viewers also liked (20)

PDF
N0102196100
PDF
E010132736
PDF
Android Malware: Study and analysis of malware for privacy leak in ad-hoc net...
PDF
Cellular digitized map on Google Earth
PDF
Practical Investigation of the Environmental Hazards of Idle Time and Speed o...
PDF
H1303055462
PDF
B0340818
PDF
Analysis Of NACA 6412 Airfoil (Purpose: Propeller For Flying Bike)
PDF
A0440104
PDF
Determining the Different E-Services Required By the Pakistani Citizens
PDF
Human Skin Cancer Recognition and Classification by Unified Skin Texture and ...
PDF
Analytical Review on the Correlation between Ai and Neuroscience
PDF
Implementation of Various Cryptosystem Using Chaos
PDF
B013150813
PDF
Securing Group Communication in Partially Distributed Systems
PDF
Educational Process Mining-Different Perspectives
PDF
A personalized Wireless Sensor Network Communication Model for computerizatio...
PDF
Analysis of failure of Brakes due to leakages of cylinder through CFD
PDF
J01046673
PDF
Bringing Consistency in the Websites of Higher Educational Institutes (HEIs)...
N0102196100
E010132736
Android Malware: Study and analysis of malware for privacy leak in ad-hoc net...
Cellular digitized map on Google Earth
Practical Investigation of the Environmental Hazards of Idle Time and Speed o...
H1303055462
B0340818
Analysis Of NACA 6412 Airfoil (Purpose: Propeller For Flying Bike)
A0440104
Determining the Different E-Services Required By the Pakistani Citizens
Human Skin Cancer Recognition and Classification by Unified Skin Texture and ...
Analytical Review on the Correlation between Ai and Neuroscience
Implementation of Various Cryptosystem Using Chaos
B013150813
Securing Group Communication in Partially Distributed Systems
Educational Process Mining-Different Perspectives
A personalized Wireless Sensor Network Communication Model for computerizatio...
Analysis of failure of Brakes due to leakages of cylinder through CFD
J01046673
Bringing Consistency in the Websites of Higher Educational Institutes (HEIs)...
Ad

Similar to The study of semiconductor layer effect on underground cables with Time Domain Reflectometry (TDR) (20)

PDF
36.12122507
PDF
36.12122507 (2)
PDF
36.12122507 (1)
PDF
wireless power transfer
PDF
International Journal of Engineering Research and Development
PDF
PDF
3 d single gaas co axial nanowire solar cell for nanopillar-array photovoltai...
PDF
Ph3426792682
PDF
EVALUATION OF RADIATED EMISSIONS FROM PCB AND CABLES AT POST-LAYOUT LEVEL
PDF
Simulation Of Algan/Si And Inn/Si Electric - Devices
PDF
Simulation of AlGaN/Si and InN/Si ELECTRIC –DEVICES
PDF
Simulation of AlGaN/Si and InN/Si ELECTRIC –DEVICES
PDF
De icing of high voltage lines
PDF
Fea of pcb multilayer stack up high voltage planar transformer for aerospace...
PDF
Flexible and Ultrasoft Inorganic 1D Semiconductor and Heterostructure Systems...
PDF
Analysis of Stranded Multi-Conductor Cable in Multilayered Dielectric Media
PDF
Analysis and optimization of wireless power transfer link
PDF
Permeameter_Salahun
36.12122507
36.12122507 (2)
36.12122507 (1)
wireless power transfer
International Journal of Engineering Research and Development
3 d single gaas co axial nanowire solar cell for nanopillar-array photovoltai...
Ph3426792682
EVALUATION OF RADIATED EMISSIONS FROM PCB AND CABLES AT POST-LAYOUT LEVEL
Simulation Of Algan/Si And Inn/Si Electric - Devices
Simulation of AlGaN/Si and InN/Si ELECTRIC –DEVICES
Simulation of AlGaN/Si and InN/Si ELECTRIC –DEVICES
De icing of high voltage lines
Fea of pcb multilayer stack up high voltage planar transformer for aerospace...
Flexible and Ultrasoft Inorganic 1D Semiconductor and Heterostructure Systems...
Analysis of Stranded Multi-Conductor Cable in Multilayered Dielectric Media
Analysis and optimization of wireless power transfer link
Permeameter_Salahun

More from IOSR Journals (20)

PDF
A011140104
PDF
M0111397100
PDF
L011138596
PDF
K011138084
PDF
J011137479
PDF
I011136673
PDF
G011134454
PDF
H011135565
PDF
F011134043
PDF
E011133639
PDF
D011132635
PDF
C011131925
PDF
B011130918
PDF
A011130108
PDF
I011125160
PDF
H011124050
PDF
G011123539
PDF
F011123134
PDF
E011122530
PDF
D011121524
A011140104
M0111397100
L011138596
K011138084
J011137479
I011136673
G011134454
H011135565
F011134043
E011133639
D011132635
C011131925
B011130918
A011130108
I011125160
H011124050
G011123539
F011123134
E011122530
D011121524

Recently uploaded (20)

PPTX
Fundamentals of safety and accident prevention -final (1).pptx
PDF
null (2) bgfbg bfgb bfgb fbfg bfbgf b.pdf
PDF
PPT on Performance Review to get promotions
PDF
Human-AI Collaboration: Balancing Agentic AI and Autonomy in Hybrid Systems
PPTX
Foundation to blockchain - A guide to Blockchain Tech
PPTX
MET 305 2019 SCHEME MODULE 2 COMPLETE.pptx
PDF
Well-logging-methods_new................
PDF
Unit I ESSENTIAL OF DIGITAL MARKETING.pdf
PPT
Introduction, IoT Design Methodology, Case Study on IoT System for Weather Mo...
DOCX
573137875-Attendance-Management-System-original
PPT
Project quality management in manufacturing
PDF
PREDICTION OF DIABETES FROM ELECTRONIC HEALTH RECORDS
PPTX
Geodesy 1.pptx...............................................
PPTX
Construction Project Organization Group 2.pptx
PPT
introduction to datamining and warehousing
DOCX
ASol_English-Language-Literature-Set-1-27-02-2023-converted.docx
PPTX
Current and future trends in Computer Vision.pptx
PPTX
Artificial Intelligence
PPTX
M Tech Sem 1 Civil Engineering Environmental Sciences.pptx
PDF
Level 2 – IBM Data and AI Fundamentals (1)_v1.1.PDF
Fundamentals of safety and accident prevention -final (1).pptx
null (2) bgfbg bfgb bfgb fbfg bfbgf b.pdf
PPT on Performance Review to get promotions
Human-AI Collaboration: Balancing Agentic AI and Autonomy in Hybrid Systems
Foundation to blockchain - A guide to Blockchain Tech
MET 305 2019 SCHEME MODULE 2 COMPLETE.pptx
Well-logging-methods_new................
Unit I ESSENTIAL OF DIGITAL MARKETING.pdf
Introduction, IoT Design Methodology, Case Study on IoT System for Weather Mo...
573137875-Attendance-Management-System-original
Project quality management in manufacturing
PREDICTION OF DIABETES FROM ELECTRONIC HEALTH RECORDS
Geodesy 1.pptx...............................................
Construction Project Organization Group 2.pptx
introduction to datamining and warehousing
ASol_English-Language-Literature-Set-1-27-02-2023-converted.docx
Current and future trends in Computer Vision.pptx
Artificial Intelligence
M Tech Sem 1 Civil Engineering Environmental Sciences.pptx
Level 2 – IBM Data and AI Fundamentals (1)_v1.1.PDF

The study of semiconductor layer effect on underground cables with Time Domain Reflectometry (TDR)

  • 1. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-ISSN: 2278-1676,p-ISSN: 2320-3331, Volume 7, Issue 6 (Sep. - Oct. 2013), PP 01-07 www.iosrjournals.org www.iosrjournals.org 1 | Page The study of semiconductor layer effect on underground cables with Time Domain Reflectometry (TDR) Rodrigo Paludo1 , Guilherme Cunha da Silva2 , Vitoldo Swinka Filho3 1,2and 3 (Department of Materials, Universidade Federal do Paraná, Brasil) Abstract: Time Domain Reflectometry is a technique used for fault location and partial discharge analysis in underground electric distribution cables. The technique is based on the analysis of the propagation of short electric pulses. In underground cables, semiconductor layer properties and degradation cause perturbations in the signal wave shape. These perturbations complicate the interpretation of reflectograms and, as a consequence, fault location. This work presents a circuit model of distributed elements that includes the electrical resistance of the semiconductor layers. The results of computer simulations using the proposed model are compared with measurements in new and aged XLPE cables. This comparison shows that the proposed model can represent the phenomena satisfactorily. Keywords : Underground cables, Simulation of Time Domain Reflectometry, Attenuation spectrum. I. INTRODUCTION Rapid fault localization in underground cables reduces grid maintenance time and, as a consequence, reduces service interruption time. In this context, Time Domain Reflectometry (TDR) is an appropriate technique to quickly find a fault by analyzing the behavior of short electric pulses propagating in the cable. The electrical pulses propagate along the cable and can be absorbed or reflected as a result of changes in the characteristic impedance [1]. Measurements in aged cables show changes in the pulse behavior that make TDR analysis difficult. In this work, the semiconductor layer’s electric resistance is considered in explaining the pulse attenuation and dispersion during propagation in new and aged cables, using cable measurements and computational simulations. II. MATERIALS AND METHODS The comparison was performed using XLPE (cross-linked polyethylene) insulated cables, both new and aged, whose characteristics are shown in Table 1. The cable labeled XLPE-A was manufactured in the 1970s and was removed from operation. The cable labeled XLPE-N is a new cable that has not been used in operation. Table 1 – Cable characteristics. Cables XLPE-N (new) XLPE-A (aged) Internal diameter (conductor) 8 mm 9 mm External diameter (insulation) 17.5 mm 19 mm Internal semiconductor layer thickness 1.2 mm 0.6 mm External semiconductor layer thickness 1.5 mm 0.5 mm Characteristic Impedance 33 Ω 36 Ω Cable length 67 m 33 m Material of the internal conductor Aluminum Aluminum conductivity 6 106.59 x 1 m Dielectric XLPE XLPE conductivity 15 10  1 m XLPE relative permittivity 2.4 Voltage class 12/20 kV Vacuum magnetic permeability 7 104  x ATm/ Relative magnetic permeability of the conductor 1 Vacuum electric permittivity 12 1085.8  x 22 / NmC Frequency 25 MHz To perform TDR, an oscilloscope was used with an acquisition rate of 1 GS/s, and the pulses were generated with a digital function generator. Fig. 1 shows the classic model of a distributed circuit element [2, 3].
  • 2. The study of semiconductor layer effect on underground cables with Time Domain Reflectometry www.iosrjournals.org 2 | Page Figure 1 – Classic model of a distributed element. The electrical characteristics for a coaxial line are given by [2, 3]:        ba R R s 11 .2 '  (1) where 'R → Resistance per unit length [ m/ ]; 'L → Inductance per unit length [ mH / ]; 'G → Conductance per unit length [ mS / ]; 'C → Capacitance per unit length [ mF / ]; a → Internal conductor radius [m]; b → External conductor radius [m];  → Dielectric magnetic permeability [ AmT /. ];  → Dielectric conductivity [ 1 .   m ]; and  → Dielectric electric permittivity [ 22 ./ mNC ].        a b L ln 2 '   (2)        a b G ln 2 '  (3)        a b C ln 2 '  (4) The resistance per unit length of the cable is determined using the intrinsic resistance (Rs), i.e., the skin resistance of the conductor [2, 3], c c s f R   ..  (5) where f → Frequency [ Hz ]; c → Conductor magnetic permeability [ AmT /. ]; and c → Conductor conductivity [ 1 .   m ]. III. RESULTS AND DISCUSSION The Fig. 2 shows the schematic diagram of the experimental setup for TDR. Figure 2 – Experimental layout for TDR. Channel 2 from the oscilloscope was connected to the far end of the cable. 3.1 XLPE-N Cable Using the values from Table 1 and equations (1 - 5), the values of the parameters per unit of cable length were obtained and are shown in Table 2. Table 2 – Parameter values of the XLPE-N cable. Parameters of the cable Values Units R’ 2 1027.7  x Ω / m L’ 7 1073.1  x H / m C’ 10 1054.1  x F / m G’ 15 1026.7  x S / m Fig. 3 shows the circuit diagram for the XLPE-N cable where two elements were used for one meter of length.
  • 3. The study of semiconductor layer effect on underground cables with Time Domain Reflectometry www.iosrjournals.org 3 | Page Figure 3 – Schematic circuit showing an element used in the simulation of the XLPE-N cable. The characteristic impedance of the cable is calculated using equation (6) [3], and the value obtained is used to link the impedance of the function generator with the cable. '' '' 0 jwCG jwLR Z    (6)  )045.042.33(0 jZ Fig. 4 shows the result of the simulation for the XLPE-N cable with an open far end. Figure 4 – Simulation reflectogram of the XLPE-N cable with an open far end. Fig. 5 shows the reflectogram of the XLPE-N cable measured in the laboratory. Comparing Fig. 5 with Fig. 4, the agreement between the simulation and lab measurements can be observed. Figure 5 – Experimental reflectogram of the XLPE-N cable with an open far end. Fig. 6 shows the results of a simulation with the far end short circuited, where the reflected pulse presents a negative polarity. Figure 6 – Simulation reflectogram of the XLPE-N cable in short circuit. The experimentally obtained reflectogram with the cable in short circuit is shown in Fig. 7.
  • 4. The study of semiconductor layer effect on underground cables with Time Domain Reflectometry www.iosrjournals.org 4 | Page Figure 7 – Experimental reflectogram of the XLPE-N cable in short circuit. Comparing the simulated and experimental graphs, it can be observed that the simulation results are consistent with the data obtained experimentally from the XLPE-N cable. 3.2. XLPE-A Cable The same procedure used for the XLPE-N cable was adopted for the XLPE-A cable. The values of the calculated parameters per unit length of cable are presented in Table 3. Table 3 – Parameters values of cable XLPE-A. Parameters of cable Values Units R’ 2 1033.6  x Ω / m L’ 7 1087.1  x H / m C’ 10 1042.1  x F / m G’ 15 1069.6  x S / m The circuit diagram for the XLPE-A cable is shown in Fig. 8, where two elements were used for one meter of length. Figure 8 – Schematic circuit showing an element used in the simulation of the XLPE-A cable. The value of the characteristic impedance [4] that was calculated for the aged cable is:  )0409.028.36(0 jZ Fig. 9 shows the simulated reflectogram of the XLPE-A cable in an open circuit. Figure 9 – Simulation reflectogram of the XLPE-A cable in open far end. Fig. 10 shows the reflectogram of the XLPE-A cable obtained with the same arrangement as the reflectogram presented in Figure 5. In this case, the simulated and experimental reflectograms do not agree, unlike with the XLPE-N cable. The velocity of pulse propagation in the XLPE-A cable was calculated using equation (7) [4, 5], giving a value of sm /195 .
  • 5. The study of semiconductor layer effect on underground cables with Time Domain Reflectometry www.iosrjournals.org 5 | Page . 1 pv (7) With this value of the velocity, the pulse should be observed at the far end of the cable with ns169 of delay, shown by an arrow in Fig. 10. Figure 10 – Experimental reflectogram of the XLPE-A cable with an open far end. Because the theory for transmission lines [6, 7] was applied equally to the two kinds of the cables (new and aged), the reflectograms should have the same waveform. However, Fig. 9 and Fig. 10 show that the measured behavior of the cable disagrees with that predicted by the classical model of distributed elements. Therefore, work was directed toward explaining this phenomenon. IV. MODEL OF DISTRIBUTED ELEMENTS PROPOSED The first hypothesis to explain the observed phenomenon in the aged cable was related to the resistivity of the semiconductor layers and the conductance of the dielectric. The comparison value of resistivity in Table 4, between aged (XLPE-A1 and XLPE-A2) and new (XLPE-N) cables, show that for outer layer the orders of magnitude are equal. For the inner layer the aged cable show lower value than the new cable and however this hypothesis was discarded. Table 4 – Values of resistivity measure. Semiconductor layer XLPE-A1 XLPE-A2 XLPE-N Inner 5.21 x 10-3 3.77 x10-3 3.94 x 10-1 Outer 2.77 x 10-2 2.3 x 10-2 5.18 x 10-2 The hypothesis of change in the electrical conductance was evaluated by simulation using values in the range of 10-15 S to 10-3 S and this change was not able to explain the effect of the Fig. 10. A new model was proposed in which the semiconductor layers are represented by resistances iR (resistance of inner semiconductor layer) and oR (resistance of outer semiconductor layer) connected in series with the capacitance and conductance of the distributed-element model, as shown in Fig. 11. In this proposed model, the hypothesis states that there are mechanisms in the semiconductor layers that are activated by the aging of the cable, and this can change the way that the pulses propagate in the cable. These changes make the cables become dissipative and dispersive [7, 11]. The waveform signal, shown in Fig. 10, was used as a measure to relate the simulations to a resistance value that is appropriate for the representation of the semiconductor layers. The simulated resistance )( oi RR  was varied from 20 Ω to 1 kΩ to find a value where the simulated reflectogram matched the experimental reflectogram in Fig. 10. As the value of the resistance was increased, the simulated reflectogram more closely approximated the experimental reflectogram. Figure 11 – Schematic drawing of the classical model and the proposed model.
  • 6. The study of semiconductor layer effect on underground cables with Time Domain Reflectometry www.iosrjournals.org 6 | Page The criterion used for selecting a value of resistance was to compare the ratio of the amplitudes of input pulse with the far end pulse. As the reflectogram in Fig. 10 shows, the rate is approximately 3.5 times, and this value was taken as a reference. The resistance value that produced the simulation results closest to the experimental results for the XLPE-A cable was 100 Ω. Figure 12 – Simulated reflectogram of an XLPE-A cable with an open far end proposed model and a semiconductor layer resistance of 100 Ω. The resistivity measurements of the semiconductor layers showed that the intrinsic resistance of the XLPE-A cable is not responsible for the change in the waveform. This phenomenon, shown in fig. 10, was attributed to the coupling of the electrical resistance of the semiconductor layers with other parts of the cable. In cables that are more than 25 years old, there are regions of oxidation in the semiconductor layers (outer and inner), which can be observed in Fig. 13. Figure 13 – XLPE cables (aged on the left and new on the right). It was observed that the tape in the semiconductor layer of the XLPE-A cable has a low intrinsic resistance value per meter; however, the layer is positioned between the electromagnetic shielding and the dielectric. This layer undergoes an increase in coupling resistance due to oxidation caused by the humidity that occur during the cable’s lifetime. This oxidation is not observed in the new cable. The energy dissipation factor of the pulse was studied using simulations with different values of resistance representing the semiconductor layers of the cable. This study was performed by comparing the ratio between the energy of a pulse position of the cable and the pulse energy injected into the cable. The results of this study are shown in Fig. 14. Figure 14 – Comparison of the attenuation along the cable with different resistance values.
  • 7. The study of semiconductor layer effect on underground cables with Time Domain Reflectometry www.iosrjournals.org 7 | Page In Fig. 14, it can be observed that the ratio E/E0 decreases with increasing semiconductor layer resistance. The dissipative behavior for different cable lengths is shown in Fig. 15. This graph was obtained by simulating the proposed model of the cable with the electrical resistance of the semiconductor layers equal to 100 Ω. The graph shows the spectrum of attenuation, which is a characteristic of the cable. Figure 15 – Attenuation spectrum simulated for a cable with semiconductor layer resistance of 100 Ω. What can be concluded from the attenuation spectrum of the cable, from 100 kHz to 10 MHz, is that as the length of the cable increases, the value of the cutoff frequency decreases. For example, at 10 meters from the beginning of the cable, the cutoff frequency is approximately 10 MHz, while at 100 meters from the beginning of the cable, the cutoff frequency decreases to approximately 5 MHz. Therefore, it can be observed that the attenuation constant of the cable is related to the pulse frequency. V. CONCLUSION The results of the reflectometry performed on aged cable did not agree with the simulation results using the classical model of distributed elements. The proposed model produces better agreement with the results of reflectometry that were obtained from the aged cables. The proposed model introduces a resistance to represent the semiconductor layers at the inner and outer surfaces of the XPLE dielectric. This resistance can be associated with the degradation mechanisms in these layers. The results of the calculations of the resistance per unit length of material from the semiconductor layers, which was performed using the results of the measured electric resistivity, show that although the values of resistance are small, they have a significant contribution in this phenomenon. Predominantly, the resistance is caused by the mechanisms of degradation, such as oxidation. This is confirmed by the results of simulations and reflectometry made on the new cable, which does not show the dispersive behavior. The results of simulations with the proposed model showed that the attenuation increases proportionally with the resistance presented by the semiconductor layers and the degradation mechanisms. Additionally, it was observed that the attenuation is a function of frequency, which does not occur in the classical model. REFERENCES [1] V. DUBICKAS, H. EDIN and R. PAPAZYAN, “Cables Diagnostics with On-Voltage Time Domain Reflectometry,” Royal Institute of Technology, 2006. [2] D. k. CHENG, “Field and Wave Electromagnetics,” Second Edition, Addison-Wesley Publishing Company, Boston, pp. 370 - 428, 1989. [3] F. T. ULABY, E. MICHIELSSEN and U. RAVAIOLI, “Fundamentals of Applied Electromagnetics,” Sixth Edition, Pearson, University of Michigan, pp. 67 - 131, 1994. [4] P. WAGENAARS, P.A.A.F Wouters, P.C.J.M. Van Der Wielen and E.F. Steennis, “Estimation of Transmission Line Parameters for Single-core XLPE Cables,” International Conference on CMD, pp. 1132 – 1135, Beijing, 2008. [5] M. E. KOWALSKI, “A Simple and Efficient Computational Approach to Chafed Cable Time-Domain Reflectometry Signature Prediction,” Stinger Ghaffarian Technologies (SGT), Inc. NASA Ames Research Center, 2008. [6] V. DUBICKAS, “Development of On-line Diagnostic Methods for Medium Voltage XLPE Power Cables” Doctoral Thesis, Stockholm, Sweden 2009. [7] R. PALUDO, “Refletometria no Domínio do Tempo: Análise das Camadas Semicondutoras de Cabos Isolados,” Dissertation of Master, Curitiba 2009. [8] R. PAPAZYAN and R. ERIKSSON, “Calibration for Time Domain Propagation Constant Measurements on Power Cables,” IEEE Transactions on Instrumentation and Measurement, vol. 52, pp. 415 – 418, 2003. [9] R. HEINRICH, S. BONISCH, D. POMMERENKE, R. JOBAVA and W. KALKNER, “Broadband Measurement of the Conductivity and the Permittivity of Semiconducting Materials in High Voltage XLPE Cables,” Eighth International Conference on (IEE Conf. Publ. No. 473), pp. 212 – 217, 2000. [10] G. MUGALA, R. ERIKSSON and P. Petersson, “Comparing Two Measurements Techniques for High Frequency Characterization of Power Cable Semi conducting and Insulating Materials,” IEEE Trans. on Dielectrics and Electrical Insulation, vol. 13, pp. 712 – 716, 2006. [11] O. HIO NAM, T. R. BLACKBURN and B. T. PHUNG, “The Effect of Insulation Loss and Semi-Conducting Layers on Pulse Propagation Behavior of Power Cables,” Power Engineering Conference, pp. 1 – 5, Australasian Universities, 2007.