Suppression of Stochastic Pulses Interference in XLPE Cables Based on Fuzzy Clustering

2014 ◽  
Vol 960-961 ◽  
pp. 885-890
Author(s):  
Hong Mai ◽  
Xiao Xin Chen ◽  
Yan Ran Li ◽  
Chong Wei ◽  
Yi Ming Zhang
Keyword(s):  
Fuzzy Clustering ◽  
The State ◽  
Frequency Method ◽  
Cable Insulation ◽  
Pulse Interference ◽  
Xlpe Cable ◽  
Time Frequency ◽  
Phase Concentration ◽  
Equivalent Time ◽  
Feature Values

To suppress the stochastic pulse interference in XLPE Cables, this paper uses equivalent time-frequency method to extract pulse feature values, adaptive fuzzy clustering to classify pulses, phase concentration as an index to distinguish PD and stochastic pulses. Analysis results of on-site data show that this method can effectively suppress stochastic pulse interference in the PD signal, providing a useful theoretical and practical basis to assess the state of XLPE cable insulation.

Ageing Assessment of XLPE Cable Insulation by Residual Antioxidant Content

2020 ◽  
Vol 27 (6) ◽  
pp. 1795-1802
Author(s):  
Yuanyuan Zhang ◽  
Shengtao Li ◽  
Jian Gao ◽  
Shihang Wang ◽  
Kangning Wu ◽  
...  
Keyword(s):  
Cable Insulation ◽  
Xlpe Cable ◽  
Antioxidant Content

Fuzzified time-frequency method for identification and localization of power system faults

2021 ◽  
pp. 1-13
Author(s):  
Pullabhatla Srikanth ◽  
Chiranjib Koley
Keyword(s):  
Power System ◽  
High Accuracy ◽  
Fuzzy Decision ◽  
Frequency Method ◽  
Time Frequency ◽  
Novel Approach ◽  
S Transform ◽  
Different Types ◽  
Power System Faults ◽  
Frequency Magnitude

In this work, different types of power system faults at various distances have been identified using a novel approach based on Discrete S-Transform clubbed with a Fuzzy decision box. The area under the maximum values of the dilated Gaussian windows in the time-frequency domain has been used as the critical input values to the fuzzy machine. In this work, IEEE-9 and IEEE-14 bus systems have been considered as the test systems for validating the proposed methodology for identification and localization of Power System Faults. The proposed algorithm can identify different power system faults like Asymmetrical Phase Faults, Asymmetrical Ground Faults, and Symmetrical Phase faults, occurring at 20% to 80% of the transmission line. The study reveals that the variation in distance and type of fault creates a change in time-frequency magnitude in a unique pattern. The method can identify and locate the faulted bus with high accuracy in comparison to SVM.

scholarly journals Study on the Relationship between Electrical Tree Development and Partial Discharge of XLPE Cables

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Chaofei Gao ◽  
Yanlong Yu ◽  
Zan Wang ◽  
Wei Wang ◽  
Liwei Zheng ◽  
...  
Keyword(s):  
Statistical Characteristics ◽  
Time Frequency ◽  
Experimental Platform ◽  
Equivalent Time ◽  
Electrical Tree ◽  
Electrical Trees ◽  
Insulation Breakdown ◽  
The Relationship ◽  
Frequency Diagram ◽  
Tree Development

Based on the slice materials of 35 kV and 110 kV XLPE cables, an experimental platform is built to study the relationship between electrical tree and PDs in XLPE with different voltage levels. There are three significant statistical characteristics of the PDs during the growth of electrical trees. The analysis of the results shows that each growth stage has certain characteristics. Different features existed between the growth of the electrical trees and the PD in the insulation of the 35 and 110 kV cables. Evident characteristics such as large spans of time and frequency were present as the electrical trees grew violently in the equivalent time-frequency diagram at every stage. These results could provide criteria for the identification of the deterioration using PD to monitor cables in service at rated voltages. The results are important for the identification of defects in cable insulation in order to provide an early warning of insulation breakdown in the cables.

Effect of Electrical Aging on the Trap Parameter of HVAC XLPE Cable Insulation

2014 ◽  
Vol 672-674 ◽  
pp. 769-772
Author(s):  
Wei Wei Li ◽  
Qiang Shi ◽  
Chi Wu
Keyword(s):  
Crystallization Process ◽  
Melt Crystallization ◽  
Depolarization Current ◽  
Cable Insulation ◽  
Trap Charge ◽  
Xlpe Cable ◽  
Trap Parameter ◽  
Start Up ◽  
Electrical Aging ◽  
Two Peaks

The effect of electrical aging on the trap parameter of HVAC XLPE cable insulation was investigated in this work. Thermally Stimulated Current (TSC) was used to measure depolarization current. The variation of trap parameter was calculated by means of start-up method based on the Gaussian fitting curve of TSC data. It was found that, the activation energy and the amount of trap charge obtained from TSC peak at 243K and 348K were increased after electrical aging, which may be benefit to characterize the degree of aging. The amount of trap charge in the two peaks increases as the increase of oxide dipole after electrical aging. And charge trapped described by the TSC peak at melting temperature increased after aging. It is considered that the increase of charge in the TSC peak can be attributed to the release of trap charge in the melt crystallization process, which corresponds to the α relaxation process in XLPE insulation.

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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