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.

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.

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.

scholarly journals Application and verification of partial discharge measurement system for power cable based on oscillating wave voltage

2020 ◽  
Vol 71 (5) ◽  
pp. 333-339
Author(s):  
Guangke Xu ◽  
Xing Li ◽  
Weiwei Zhang ◽  
Yuxin Yun ◽  
Lingying Chen ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Partial Discharge ◽  
Test System ◽  
Power Cable ◽  
Power Cables ◽  
Discharge Measurement ◽  
Verification Method ◽  
Compact Size ◽  
High Integrity ◽  
Insulation Performance

Abstract Compared with conventional methods for insulation performance evaluation of power cables, the oscillating wave test system used in partial discharge measurement for power cables has advantages of high integrity, easy operation, low power consumption, and compact size in addition, partial discharge, defect localization, and dielectric loss can be measured simultaneously without any damage to cable insulation. Therefore, the oscillating wave test system has been widely applied for insulation performance evaluation of newly installed as well as fault power cables. However, there is no study so far on the verification method of oscillating wave test system. This paper dealt with the application and verification for cable partial discharge measurement devices based on oscillating wave voltage, which is aimed to verify performances of oscillating wave voltage generator, partial discharge measurement, and partial discharge localization. The proposed verification system is expected to be applied in the admittance testing and regular verification of oscillating wave test system, for the purpose of improving the its accuracy and standardization in partial discharge measurement of power cable.

Transmission Characteristic Analysis of PD Signal in Power Cable

2013 ◽  
Vol 441 ◽  
pp. 146-149
Author(s):  
Yong Chun Liang ◽  
Zhi Peng Ge ◽  
Yan Ting Hu
Keyword(s):  
Partial Discharge ◽  
Power Cable ◽  
Transmission Characteristic ◽  
Power Cables ◽  
Characteristic Analysis ◽  
Primary Parameter ◽  
Double Exponential ◽  
Different Types ◽  
Simulation Results ◽  
Double Exponential Function

Partial discharge is one of the most common fault of power cable. It is of great significance to detect and analyze the condition of the power cable and locate the fault of the power cable. The model of partial discharge signal is constructed by a double exponential function. The simulation model of power cable with a middle fault is built by MATLAB SIMULINK. The transmission characteristic of partial discharge in different length of power cable and different types of power cable is simulated respectively. The simulation results show that the attenuation is proportional to the length of the same type of cable and the primary parameter of different type of power cables determines the attenuation.

scholarly journals Location Technique based on Multiple Partial Discharge Signal in 11kV Underground Power Cable using EMTP-ATP Software

2021 ◽  
Vol 1793 (1) ◽  
pp. 012071
Author(s):  
M I A M Halim ◽  
N K H Rohani ◽  
N Rosle ◽  
A S C Rosmi ◽  
C. Yii ◽  
...  
Keyword(s):  
Partial Discharge ◽  
Power Cable ◽  
Underground Power Cable

scholarly journals Polyethylene Nanocomposites for Power Cable Insulations

Polymers ◽  
2018 ◽  
Vol 11 (1) ◽  
pp. 24 ◽  
Author(s):  
Ilona Pleşa ◽  
Petru Noţingher ◽  
Cristina Stancu ◽  
Frank Wiesbrock ◽  
Sandra Schlögl
Keyword(s):  
Electrical Performance ◽  
Power Cable ◽  
Power Cables ◽  
Structure Property ◽  
Thermoplastic Polymers ◽  
Water Tree ◽  
Tree Resistance ◽  
Structure Property Relationships ◽  
Aging Mechanisms ◽  
Comprehensive Study

This review represents a comprehensive study of nanocomposites for power cables insulations based on thermoplastic polymers such as polyethylene congeners like LDPE, HDPE and XLPE, which is complemented by original results. Particular focus lies on the structure-property relationships of nanocomposites and the materials’ design with the corresponding electrical properties. The critical factors, which contribute to the degradation or improvement of the electrical performance of such cable insulations, are discussed in detail; in particular, properties such as electrical conductivity, relative permittivity, dielectric losses, partial discharges, space charge, electrical and water tree resistance behavior and electric breakdown of such nanocomposites based on thermoplastic polymers are described and referred to the composites’ structures. This review is motivated by the fact that the development of polymer nanocomposites for power cables insulation is based on understanding more closely the aging mechanisms and the behavior of nanocomposites under operating stresses.

Development of a Portable XLPE Cable Insulation Detection Device

2014 ◽  
Vol 960-961 ◽  
pp. 881-884
Author(s):  
Xiao Guang Xi ◽  
Yu Yan Man ◽  
Chi Zhang ◽  
Ming Lei Wu ◽  
Yan Wei Dong ◽  
...  
Keyword(s):  
Acoustic Emission ◽  
Electromagnetic Wave ◽  
Electromagnetic Coupling ◽  
Partial Discharge ◽  
Power Cables ◽  
Cable Insulation ◽  
Xlpe Cable ◽  
Insulation Status

In this article, a portable XLPE cable insulation detection device is introduced. Such a device utilizes electromagnetic coupling, UHF electromagnetic wave and acoustic emission to detect partial discharge signals in power cables. By analyzing the partial discharge signals and cable temperatures, the insulation status of XLPE power cables is judged.

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