scholarly journals Review on Detection and Analysis of Partial Discharge along Power Cables

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7692
Author(s):  
Xiaohua Zhang ◽  
Bo Pang ◽  
Yaxin Liu ◽  
Shaoyu Liu ◽  
Peng Xu ◽  
...  
Keyword(s):  
Partial Discharge ◽  
Development Trend ◽  
Acceptance Testing ◽  
Power Cable ◽  
Power Cables ◽  
Affecting Factors ◽  
Comprehensive Review ◽  
Theory To Practice ◽  
On Line ◽  
Line Test

Partial discharge (PD) detection and analysis plays a crucial role for acceptance testing and condition monitoring of power cables. Various aspects are related to PD in power cables from theory to practice. This paper first summarizes the PD mechanism and models used for PD analysis in power cables. Afterwards, PD detection is addressed in the aspects of off-line test, on-line test, and sensors. PD analysis is discussed in detail. Specifically, related quantities and algorithms for PD analysis are outlined. PD characteristics with affecting factors, e.g., dielectric type, load, and applied voltage are discussed. Experience on PD development trend with measurements in field is analyzed. Based on the comprehensive review, challenges of PD detection and analysis along a power cable are proposed.

Verifying Suitability for Service With EMI Diagnostics

2008 ◽  
Author(s):  
James E. Timperley
Keyword(s):  
Electromagnetic Interference ◽  
Electrical Equipment ◽  
Current Transformer ◽  
Power Cables ◽  
Generator System ◽  
On Line ◽  
System Data ◽  
Line Test ◽  
Generator Stator ◽  
Frequency Current

This paper provides examples of conditions found with nuclear plant electrical equipment by the application of EMI (electromagnetic interference) Diagnostics. This is an on-line test that can detect a wide variety of defects in motors, generators, power cables transformers and isolated phase bus. There is no interruption to service and no risk to the system while data is collected. Photo 1 shows the temporary placement location of a RFCT (radio frequency current transformer) to collect EMI data from this CWP motor. Photo 2 shows the RFCT application on the generator stator grounding transformer. This is the preferred location to collect generator system data.

scholarly journals Study on the damage analysis of 110kV cable structure

2021 ◽  
Vol 243 ◽  
pp. 01006
Author(s):  
Zhitao He ◽  
Wen He ◽  
Haohui He ◽  
Junxuan Hong
Keyword(s):  
Structural Analysis ◽  
Structural Damage ◽  
Power Grid ◽  
Partial Discharge ◽  
Power Engineering ◽  
Power Cable ◽  
Power Cables ◽  
Engineering Construction ◽  
Cable Structure ◽  
Cable Damage

The market application value of power cables has gradually emerged with the development of various industries. Cable laying is a basic project in the construction of power grid and a key part of power engineering construction, and a key content of power engineering construction, which is related to the safe and reliable operation of the entire power grid. With the laying process of power cable, the metal sheath is subjected to structural damage such as extrusion deformation. This paper takes a 110kV cable line as an example, The case of cable damage was introduced in detail, and targeted measures were proposed based on the defects caused by the damage. At the same time, the structural analysis of the cable damage is carried out, and the structural analysis and simulation are performed, and the partial discharge test is performed on the damaged portion of the insulation to obtain the stress received when the cable is recessed, and the partial discharge signal detected by the damage of the insulating shielding layer is collected. Provide reference for staff related to power cables.

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.

Partial Discharge Localization on Power Cables Using On-Line Transfer Function

2019 ◽  
Vol 34 (4) ◽  
pp. 1490-1498 ◽  
Author(s):  
Mahdi Mahdipour ◽  
Asghar Akbari ◽  
Peter Werle ◽  
Hossein Borsi
Keyword(s):  
Transfer Function ◽  
Partial Discharge ◽  
Power Cables ◽  
On Line ◽  
Line Transfer

scholarly journals Extraction of Partial Discharge Pulses from the Complex Noisy Signals of Power Cables Based on CEEMDAN and Wavelet Packet

Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3242 ◽  
Author(s):  
Sun ◽  
Zhang ◽  
Shi ◽  
Gou
Keyword(s):  
White Noise ◽  
Arrival Time ◽  
Wavelet Packet ◽  
Partial Discharge ◽  
Gaussian White Noise ◽  
Power Cable ◽  
Sampling Point ◽  
Power Cables ◽  
Threshold Method ◽  
Narrowband Noise

While both periodic narrowband noise and white noise are significant sources of interference in the detection and localization of partial discharge (PD) signals in power cables, existing research has focused nearly exclusively on white noise suppression. This paper addresses this issue by proposing a new signal extraction method for effectively detecting random PD signals in power cables subject to complex noise environments involving both white noise and periodic narrowband noise. Firstly, the power cable signal was decomposed using complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), and the periodic narrowband noise and frequency aliasing in the obtained signal components were suppressed using singular value decomposition. Then, signal components contributing significantly to the PD signal were determined according to the cross-correlation coefficient between each component and the original PD signal, and the PD signal was reconstructed solely from the obtained significant components. Finally, the wavelet packet threshold method was used to filter out residual white noise in the reconstructed PD signal. The performance of the proposed algorithm was demonstrated by its application to synthesized PD signals with complex noise environments composed of both Gaussian white noise and periodic narrowband noise. In addition, the time-varying kurtosis method was demonstrated to accurately determine the PD signal arrival time when applied to PD signals extracted by the proposed method from synthesized signals in complex noise environments with signal-to-noise ratio (SNR) values as low as −6 dB. When the SNR was reduced to −23 dB, the arrival time error of the PD signal was only one sampling point.

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