Dedicated On-Site Condition Monitoring of High Voltage Power Cables up to 150kV

2008 ◽  
Vol 9 (3) ◽  
Author(s):  
Edward Gulski ◽  
Paul P Seitz ◽  
Ben Quak ◽  
Frank Petzold ◽  
Frank de Vries
Keyword(s):  
Signal Processing ◽  
Condition Monitoring ◽  
High Voltage ◽  
Partial Discharge ◽  
Dielectric Losses ◽  
Power Cables ◽  
Site Condition ◽  
Cable System ◽  
Production Methods ◽  
Non Destructive

For advanced, non-destructive on-site condition monitoring of HV power cables up to 150kV by partial discharge detection and dielectric losses measurement it is necessary to energize the disconnected cable system. One of the methods available for this purpose is based on applying damped AC voltages up to 150kV. In this paper, the use of modern technological solutions in power electronics and signal processing as well as in technical design and production methods will be discussed on the basis of the ultra light system (300kg) which is able to test cables up to 20km lengths.

Dedicated On-Site Condition Monitoring of High Voltage Power Cables up to 150kV

ENERGYO ◽  
2018 ◽  
Author(s):  
Edward Gulski ◽  
Paul P. Seitz ◽  
Ben Quak ◽  
Frank Petzold ◽  
Frank De Vries
Keyword(s):  
Condition Monitoring ◽  
High Voltage ◽  
Power Cables ◽  
Site Condition

Online Partial Discharge Insulation Condition Monitoring of Complete High-Voltage Networks

2019 ◽  
Vol 55 (1) ◽  
pp. 1021-1029 ◽  
Author(s):  
Lee Andrew Renforth ◽  
Riccardo Giussani ◽  
Michael T. Mendiola ◽  
Lewis Dodd
Keyword(s):  
Condition Monitoring ◽  
High Voltage ◽  
Partial Discharge ◽  
Insulation Condition

scholarly journals Denoising of Heavily Contaminated Partial Discharge signals in High-Voltage Cables Using Maximal Overlap Discrete Wavelet Transform

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6540
Author(s):  
Mohammed A. Shams ◽  
Hussein I. Anis ◽  
Mohammed El-Shahat
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
High Voltage ◽  
Signal To Noise Ratio ◽  
Partial Discharge ◽  
Gaussian White Noise ◽  
Discrete Wavelet ◽  
Power Cable ◽  
Power Cables ◽  
Algorithm Performance

Online detection of partial discharges (PD) is imperative for condition monitoring of high voltage equipment as well as power cables. However, heavily contaminated sites often burden the signals with various types of noise that can be challenging to remove (denoise). This paper proposes an algorithm based on the maximal overlap discrete wavelet transform (MODWT) to denoise PD signals originating from defects in power cables contaminated with various levels of noises. The three most common noise types, namely, Gaussian white noise (GWN), discrete spectral interference (DSI), and stochastic pulse shaped interference (SPI) are considered. The algorithm is applied to an experimentally acquired void-produced partial discharge in a power cable. The MODWT-based algorithm achieved a good improvement in the signal-to-noise ratio (SNR) and in the normalized correlation coefficient (NCC) for the three types of noises. The MODWT-based algorithm performance was also compared to that of the empirical Bayesian wavelet transform (EBWT) algorithm, in which the former showed superior results in denoising SPI and DSI, as well as comparable results in denoising GWN. Finally, the algorithm performance was tested on a PD signal contaminated with the three type of noises simultaneously in which the results were also superior.

scholarly journals Experimental determination of partial discharges in a model of a digital instrument transformer by differential method

Vestnik IGEU ◽  
2019 ◽  
pp. 32-42
Author(s):  
A.V. Gusenkov ◽  
V.D. Lebedev ◽  
S.N. Litvinov ◽  
S.A. Slovesny ◽  
A.A. Yablokov
Keyword(s):  
Condition Monitoring ◽  
High Voltage ◽  
Partial Discharge ◽  
Essential Elements ◽  
Differential Method ◽  
Partial Discharges ◽  
Discharge Characteristics ◽  
Reliability Indicators ◽  
Instrument Transformer ◽  
Inductive Sensors

Power facilities are now implementing the concept of smart grid and its essential elements – high-voltage digital current and voltage transformers. However, the implementation of digital technologies is slowed down by the lack of operation experience and reliability indicators. One of the main causes of high-voltage equipment failures is insulation damage. The most informative parameters determined by insulation evaluation are partial discharge characteristics. There are rated values of these characteristics for rotating electrical machines and power transformers measured by external equipment. But the existing method of partial discharge analysis cannot be applied to digital current and voltage transformers as there are no criteria for tripping of the innovative equipment with comprehensive insulation. All this urges us to study the possibility to determine experimentally the characteristics of partial discharges in the insulation of digital current and voltage transformers by using embedded inductive sensors in order to develop a method for condition monitoring of digital current and voltage transformers and improving of their reliability. In this work, we have used a model of digital current and voltage transformers, a high-voltage test unit, a digital multi-input oscciloscope and inductive sensors. The experiment includes: detecting partial discharges in the model of digital current and voltage transformers by the external bridge connection, recording the voltage at which partial discharges occur in the simulated fault area, measuring the corresponding value of the apparent charge of the partial discharge, detecting partial discharges in the model of digital current and voltage transformers by a differential method with the help of embedded inductive sensors. The characteristics of partial discharges in the simulated fault area have been experimentally determined on a model of digital current and voltage transformers. The pulse voltage on the embedded inductive sensor corresponding to the apparent charge of 80 pC was equal to 600 mV at the test voltage of 2,7 kV. Embedded inductive sensors allow implementing the method of insulation condition monitoring for digital current and voltage transformers in accordance with the partial discharge characteristics both at the stages of production and operation extending the potential of the electronic (microprocessor) module and increasing the reliability of digital current and voltage transformers.

Testing and Diagnosis of Extra High Voltage Power Cables Using Damped AC Voltages Combined with Distributed Partial Discharge Measurement

2014 ◽  
Vol 1070-1072 ◽  
pp. 1039-1043
Author(s):  
Biao Yan ◽  
Li Zhou ◽  
Jie Chen ◽  
Feng Bo Tao ◽  
Jian Zhang
Keyword(s):  
High Voltage ◽  
Output Voltage ◽  
Partial Discharge ◽  
Assessment Method ◽  
State Assessment ◽  
Signal Acquisition ◽  
Power Cables ◽  
Underground Cable ◽  
Distributed Measurement ◽  
Extra High Voltage

State assessment method of cables with extruded insulation and their accessories, DAC withstand test combined with a diagnostic test (such as PD measurement) has two shortcomings, the output voltage is not high enough for EHV cables, it cannot detect and locate PD effectively when defects are far away from signal acquisition point. This paper focus on DAC voltages up to 250kV and a kind of distributed measurement of PD. Defects existing in arbitrary of tested cable can be accurately measured in theory by installing sensor at intervals along the tested cable. This method has been validated on a long extra high voltage cross-linked polyethylene (XLPE) insulated underground cable circuit and the filed PD test has been completed successfully.

Characteristics of Partial Discharge in Cross-Linked Polyethylene Insulation Cable under Damped AC Voltage

2014 ◽  
Vol 494-495 ◽  
pp. 1444-1447
Author(s):  
Wei Zhang ◽  
Zhi Wei Huang ◽  
Rong Xue ◽  
Long Zhang ◽  
Hong Jie Li ◽  
...  
Keyword(s):  
Condition Monitoring ◽  
Partial Discharge ◽  
Conductive Adhesive ◽  
Metal Particles ◽  
Adhesive Tape ◽  
Power Cables ◽  
Test Results ◽  
Inception Voltage ◽  
Insulation Condition ◽  
Xlpe Insulation

Partial discharge (PD) diagnosis techniques are widely used in the insulation condition monitoring for power cables. In this paper, the damped AC (DAC) voltage method was used to study the PD characteristics in the heat-shrinkable cable accessories. Four different cases of artificial defects in cross-linked polyethylene (XLPE) cables were investigated, and these defects include termination without stress tube, incorrect use of insulation tape as the semi-conductive adhesive tape in the middle joint, void and metal particles on the surface of XLPE insulation. Furthermore, the PD inception voltage and patterns obtained under the DAC voltage are compared with the AC test results.

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