Multi-end correlation-based PD location technique for medium voltage covered-conductor lines

Partial discharge (PD) is an abnormal activity that occurs in high-voltage components, such as power cables, switchgear, machines, and power transformers. Such activity needs to be diagnosed for the equipment to last longer as PD could harm the insulation and potentially lead to asset destruction from time to time. Moving one or more externally mounted acoustic sensors to different locations on the transformer tank is commonly used in order to detect and locate PD signal occurring in the power transformer. However, this procedure may lead to less accuracy in PD identification. Therefore, this research paper presents an analysis of acoustic sensor placement based on time of arrival (TOA) technique for PD location in a power transformer. The detection and location can be determined by permanently installing the acoustic sensor to provide valuable data in an early stage of occurrence for online condition PD monitoring. Several methods are available for the detection of PD signal, whereby one of the best choices is via acoustic emission (AE). PD creates an ultrasonic signal used for PD detection. This paper proposes the possible placement of AE sensors to be mounted on the power transformer wall based on ideal and static PD signals. The sensors were placed in order to capture the PD signal without any disturbance signal from inside or outside the tank. The time for the signal for the first approach for each sensor is recorded to estimate the PD location using the TOA technique. A comparison between the least square method (LSM) and Gauss-Jordan elimination (GJE) for the TOA technique was analyzed to differentiate the resulting performance. This research utilized three different PD sources to apply the performance analysis on PD locations, while five cases were proposed to represent the five different placements of four sensors for the analysis. This research ultimately suggests that sensors be placed and randomly mounted on the four sides of the transformer tank, with one sensor allocated to one side. Among all five cases, Case 1 and Case 5 yielded a displacement error (DE) less than others, while between these two cases, Case 5 gave the lowest DE. The findings were recorded based on LSM and GJE methods used to differentiate the resulting performance.

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“…The PD signal in this paper was simulated by using the mathematical model in Equation 2 [2,25,26].…”

Section: Simulated Partial Discharge Signalmentioning

confidence: 99%

Analysis of acoustic sensor placement for PD location in power transformer

Khalid¹,

Rohani²,

Ismail³

et al. 2020

Turk J Elec Eng & Comp Sci

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“…Due to the frequency or spectral contents of the PD signals are constantly changing with respect to time, thus their energy spread throughout the band and still combined with the noise even it is extracted using a continuous and periodic base (sine and cosine) functions [11]. In addition, it is difficult to achieve high resolution and high precise time location via conventional numerical algorithms, such as Fast Fourier Transform (FFT).…”

Section: Introductionmentioning

confidence: 99%

Modelling of Partial Discharge Analysis System Using Wavelet Transform Denoising Technique in Labview Environment

et al. 2019

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Partial discharge (PD) measurement is an essential to detect and diagnose the existence of the PD. However, this measurement has faced noise disturbance in industrial environments. Thus, PD analysis system using discrete wavelet transform (DWT) denoising technique via Laboratory Virtual Instrument Engineering Workbench (LabVIEW) software is proposed to distinguish noise from the measured PD signal. In this work, the performance of denoising process is analyzed based on calculated mean square error (MSE) and signal to noise ratio (SNR). The result is manipulated based on Haar, Daubechies, Coiflets, Symlets and Biorthogonal type of mother wavelet with different decomposition levels. From the SNR results, all types of the mother wavelet are suitable to be used in denoising technique since the value of SNR is in large positive value. Therefore, further studies were conducted and found out that db14, coif3, sym5 and bior5.5 wavelets with least MSE value are considered good to be used in the denoising technique. However, bior5.5 wavelet is proposed as the most optimum mother wavelet due to consistency of producing minimum value of MSE and followed by db14.

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“…However, the traveling waves type has benefits of accurate fault distance estimation and successful operation for intermittent and pro-active detection of faults [2]- [3].…”

Section: Introductionmentioning

confidence: 99%

“…Applications of the passive type can be implemented using single-end measurement and also they are improved by using double-end measurements [4]- [6]. For discarding the propagation speed in functions of traveling wave fault location, the first arrival surges due to the fault are measured at three measuring points [3], [7]. However, there should be time synchronization between the three measurements.…”

Section: Introductionmentioning

confidence: 99%

Earth Fault Distance Estimation Using Active Traveling Waves in Energized-Compensated MV Networks

Elkalashy

Sabiha

Lehtonen

2015

IEEE Trans. Power Delivery

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In Nordic Countries, distribution networks are traditionally unearthed and increasingly compensated. For such networks, switching their neutral point to the earth is practically applied through a resistor for better selectivity functions of earth faults. In this paper, the neutral switching and consequently an arrival time of the aerial mode traveling wave reflected from the fault point are utilized to accurately determine the earth fault distance. A concept to create traveling waves is implemented by earthing the neutral via a controlled-thyristor that provides a short period of high fault current and produces traveling waves to estimate the fault distance. Much higher transient signals are generated by earthing through an opposite charged capacitor. A capacitor-resistor divider is utilized to measure the reflected surge over a heterogeneous distribution feeder. An adaptive setting is proposed for stamping the arrival surge. The results provide evidence of the efficacy of the proposed fault distance estimation. Index Terms-Unearthed and compensated MV networks, earth faults, fault distance estimation, traveling waves. 0885-8977 (c)

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Multi-end correlation-based PD location technique for medium voltage covered-conductor lines

Cited by 24 publications

References 14 publications

Analysis of acoustic sensor placement for PD location in power transformer

Analysis of acoustic sensor placement for PD location in power transformer

Modelling of Partial Discharge Analysis System Using Wavelet Transform Denoising Technique in Labview Environment

Earth Fault Distance Estimation Using Active Traveling Waves in Energized-Compensated MV Networks

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