A Partial Discharge Localization Method in Transformers Based on Linear Conversion and Density Peak Clustering

Wang, Shudong; He, Yigang; Yin, Baiqiang; Zeng, Wenbo; Deng, Ying; Hu, Zengchao

doi:10.1109/access.2021.3049558

Cited by 11 publications

(4 citation statements)

References 34 publications

(52 reference statements)

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“…The other is the mixed path; the acoustic wave propagates in oil first and then in steel tank wall and next one is the reflected paths. To measure the speed of propagation of an acoustic pulse in oil, it is necessary to determine the TDOA between sensors required for the AE pulse to travel a known distance [4], [16][17][18] and [23]. Since the path difference '∆d' between the PD source and the AE sensors is known, then one can estimate the propagation speed 'S' of the PD AE signal by using…”

Section: Experimental Validationmentioning

confidence: 99%

“…Presently there is little published work related to modeling and simulation of the propagation modes of acoustic waves from PD activity [5] & [15]. Most of the research work on acoustic PD detection and its practical applications can be found in [16], [19] and [23]. There experiments were conducted to study characteristics of the PD acoustic signals as a function of position, propagation path, energy content, and signal attenuation [9] & [12].…”

Section: Introductionmentioning

confidence: 99%

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Effect of Hydrostatic Pressure on the Propagation of Partial Discharge Acoustic Signals in Transformer Oil

Ashraf¹,

Stewart

Solanki³

et al. 2021

IREE

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In this research article an attempt is made to investigate the effect of hydrostatic pressure on the propagation behavior of Partial Discharge (PD) acoustic emission (AE) signals in a simple experimental tank. A mathematical model has been developed in the form of partial differential equations (PDEs) for PD acoustic wave propagation in transformer oil in a steel tank. A Finite Element Analysis tool (FEMLAB), has been used to simulate the propagation of the acoustic waves. The simulation results show that the speed of the acoustic signal varies with the depth of the source location demonstrating hydrostatic pressure affects AE wave propagation. Furthermore, the effect of hydrostatic pressure was investigated and conformed experimentally. It is concluded that the propagation speed is not constant within the tank and increases with tank depth. If the effect of increased acoustic velocities due to hydrostatic pressure is ignored then the possibility of practical PD location algorithms inferring the incorrect location in high voltage assets, such as oil filled transformers, will be increased significantly.

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Section: Experimental Validationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of Hydrostatic Pressure on the Propagation of Partial Discharge Acoustic Signals in Transformer Oil

Ashraf¹,

Stewart

Solanki³

et al. 2021

IREE

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“…Manufacturing process, workers' construction technology, aging, and other factors will lead to partial discharge phenomenon in cables, and when accumulated to a certain extent, insulation defects deteriorate, and even breakdown or burn phenomenon [1][2][3][4][5][6][7]. Partial discharge detection is an important method to determine the performance of cable insulation [8][9][10][11][12]. The high-frequency pulse current method is a widely used detection method in partial discharge detection technology [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of a novel high-frequency current transformer for partial discharge measurements

Yan,

Cheng,

et al. 2023

IEICE Electron. Express

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This study focuses on the improvement of the performance of high-frequency current transformer (HFCT) for Partial Discharge Measurement and thus reveals a new design method of HFCT. An annular nickel-zinc ferrite is used as the magnetic core of the HFCT, and the parameters such as the number of winding turns and the diameter of the enameled wire are optimized. To test the HFCT, an experimental test platform is built according to the technical specifications of high-frequency partial discharge charged detection equipment. The test contents of the HFCT include transmission impedance, sensitivity, anti-interference characteristics, etc. The test results show that the new HFCT has a good response performance from 1MHz to 25MHz, the maximum transmission impedance value can reach 16.4mV/mA, the apparent charge of 5pC can be measured and signal-to-noise ratio is greater than 2:1. In addition, the designed HFCT also has good anti-interference and stability. With the self-designed low-power portable high-voltage cable insulation tester (mainly including signal conditioning circuit and data acquisition circuit), in the high-voltage laboratory, built a simulated discharge experimental circuit on the plate-pin, ball-ball two discharge models for high-voltage testing, the use of the developed HFCT to detect the partial discharge of the insulating polyethylene medium. The test results show that the HFCT can detect the partial discharge pulse signals before breakdown, with accurate data and reliable performance.

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“…PD localization algorithms can improve power system reliability by detecting insulation problems in cables and power equipment in a substation. Numerous PD localization algorithms have been developed in recent years, including "UHF partial discharge localization algorithm" [29], [30], "partial discharge localization in high voltage systems" [31] "partial discharge localization method in transformers" [32], multiend correlation-based PD location technique (MEC) [33], segmented correlation and trimmed mean data filtering techniques for medium-voltage (MV) underground cable segmented correlation trimmed mean (SCTM) [34] and others. According to recent research, SCTM [34] outperforms the MEC algorithm in terms of PD location accuracy.…”

Section: Introductionmentioning

confidence: 99%

Fault localization on power cables using time delay estimation of partial discharge signals

Fern,

Yii,

Bakar

et al. 2023

IJECE

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Precise localization of partial discharge (PD) sources on power cables is vital to prevent power line failures that can lead to significant economic losses for electrical suppliers. This study proposes four methods to estimate the time delay of PD signals under electromagnetic interference, including white Gaussian noise (WGN) and discrete sinusoidal interference (DSI), using denoised PD signals with signal-to-noise ratios ranging from 10.6 to -7.02 dB. The maximum peak detection (MPD) and cross-correlation (CC) approaches, as well as two new techniques, interpolation cross-correlation (ICC) and envelope cross-correlation (ECC), are evaluated for their effectiveness in PD source localization. The researchers employ the time difference of arrival (TDoA) algorithm to compute PD location using the double-end PD location algorithm, where the PD location precision serves as an indicator of the accuracy of the time delay estimation methods. The study concludes that CC and ICC are the most suitable methods for estimating the time delay of PD signals in the PD location algorithm, as they exhibit the lowest error rates. These results suggest that CC and ICC can be used effectively for precise PD source localization under electromagnetic interference on power cables.

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A Partial Discharge Localization Method in Transformers Based on Linear Conversion and Density Peak Clustering

Cited by 11 publications

References 34 publications

Effect of Hydrostatic Pressure on the Propagation of Partial Discharge Acoustic Signals in Transformer Oil

Effect of Hydrostatic Pressure on the Propagation of Partial Discharge Acoustic Signals in Transformer Oil

Design and implementation of a novel high-frequency current transformer for partial discharge measurements

Fault localization on power cables using time delay estimation of partial discharge signals

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