Signal processing of on-line PDs captured by Rogowski coil for enhanced fault detection in smart distribution networks

Murtaza Hashmi (Corresponding Author), M. Lehtonen, M. Nordman, Seppo Hänninen

Research output: Contribution to journalArticleScientificpeer-review

9 Citations (Scopus)

Abstract

On-line partial discharge (PD) measurements can be used as a condition monitoring tool to detect falling/leaning trees on the covered-conductor (CC) overhead distribution networks. PD measurements conducted in the high voltage (HV) laboratory are less affected by electromagnetic disturbances (EMD). However, on the other hand, on-line/on-site PD measurements conducted in smart distribution networks are often affected by several disturbances. Extracting low level PD signal from noisy backgrounds is a major challenge for on-line condition monitoring. In this paper, wavelet transform (WT) technique is proposed as a powerful tool to de-noise on-line PD signals in CC overhead distribution lines, which are completely buried by electromagnetic interference (EMI). The on-line PD signals are captured in the laboratory environment and on-site PD measurements are simulated. The principle of denoising based on multi-resolution signal decomposition (MSD) is implemented. The validation of WT technique is carried out by comparing its effectiveness with other available filtering techniques. Rogowski coil is used as a PD sensor to capture PD signals in this specific application. In the future, the proposed method will be implemented in a real-life environment to get more stable and reliable on-line/on-site PD measurement results for enhanced fault detection in smart distribution networks.
Original languageEnglish
Pages (from-to)4055-4064
Number of pages9
JournalInternational Review of Electrical Engineering
Volume7
Issue number2
Publication statusPublished - 2012
MoE publication typeA1 Journal article-refereed

Fingerprint

Partial discharges
Fault detection
Electric power distribution
Signal processing
Condition monitoring
Wavelet transforms
Signal interference
Decomposition

Keywords

  • Condition monitoring
  • covered-conductor
  • electromagnetic disturbances
  • partial discharge
  • Rogowski coil
  • smart distribution networks
  • wavelet transform

Cite this

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title = "Signal processing of on-line PDs captured by Rogowski coil for enhanced fault detection in smart distribution networks",
abstract = "On-line partial discharge (PD) measurements can be used as a condition monitoring tool to detect falling/leaning trees on the covered-conductor (CC) overhead distribution networks. PD measurements conducted in the high voltage (HV) laboratory are less affected by electromagnetic disturbances (EMD). However, on the other hand, on-line/on-site PD measurements conducted in smart distribution networks are often affected by several disturbances. Extracting low level PD signal from noisy backgrounds is a major challenge for on-line condition monitoring. In this paper, wavelet transform (WT) technique is proposed as a powerful tool to de-noise on-line PD signals in CC overhead distribution lines, which are completely buried by electromagnetic interference (EMI). The on-line PD signals are captured in the laboratory environment and on-site PD measurements are simulated. The principle of denoising based on multi-resolution signal decomposition (MSD) is implemented. The validation of WT technique is carried out by comparing its effectiveness with other available filtering techniques. Rogowski coil is used as a PD sensor to capture PD signals in this specific application. In the future, the proposed method will be implemented in a real-life environment to get more stable and reliable on-line/on-site PD measurement results for enhanced fault detection in smart distribution networks.",
keywords = "Condition monitoring, covered-conductor, electromagnetic disturbances, partial discharge, Rogowski coil, smart distribution networks, wavelet transform",
author = "Murtaza Hashmi and M. Lehtonen and M. Nordman and Seppo H{\"a}nninen",
year = "2012",
language = "English",
volume = "7",
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journal = "International Review of Electrical Engineering",
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}

Signal processing of on-line PDs captured by Rogowski coil for enhanced fault detection in smart distribution networks. / Hashmi, Murtaza (Corresponding Author); Lehtonen, M.; Nordman, M.; Hänninen, Seppo.

In: International Review of Electrical Engineering, Vol. 7, No. 2, 2012, p. 4055-4064.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Signal processing of on-line PDs captured by Rogowski coil for enhanced fault detection in smart distribution networks

AU - Hashmi, Murtaza

AU - Lehtonen, M.

AU - Nordman, M.

AU - Hänninen, Seppo

PY - 2012

Y1 - 2012

N2 - On-line partial discharge (PD) measurements can be used as a condition monitoring tool to detect falling/leaning trees on the covered-conductor (CC) overhead distribution networks. PD measurements conducted in the high voltage (HV) laboratory are less affected by electromagnetic disturbances (EMD). However, on the other hand, on-line/on-site PD measurements conducted in smart distribution networks are often affected by several disturbances. Extracting low level PD signal from noisy backgrounds is a major challenge for on-line condition monitoring. In this paper, wavelet transform (WT) technique is proposed as a powerful tool to de-noise on-line PD signals in CC overhead distribution lines, which are completely buried by electromagnetic interference (EMI). The on-line PD signals are captured in the laboratory environment and on-site PD measurements are simulated. The principle of denoising based on multi-resolution signal decomposition (MSD) is implemented. The validation of WT technique is carried out by comparing its effectiveness with other available filtering techniques. Rogowski coil is used as a PD sensor to capture PD signals in this specific application. In the future, the proposed method will be implemented in a real-life environment to get more stable and reliable on-line/on-site PD measurement results for enhanced fault detection in smart distribution networks.

AB - On-line partial discharge (PD) measurements can be used as a condition monitoring tool to detect falling/leaning trees on the covered-conductor (CC) overhead distribution networks. PD measurements conducted in the high voltage (HV) laboratory are less affected by electromagnetic disturbances (EMD). However, on the other hand, on-line/on-site PD measurements conducted in smart distribution networks are often affected by several disturbances. Extracting low level PD signal from noisy backgrounds is a major challenge for on-line condition monitoring. In this paper, wavelet transform (WT) technique is proposed as a powerful tool to de-noise on-line PD signals in CC overhead distribution lines, which are completely buried by electromagnetic interference (EMI). The on-line PD signals are captured in the laboratory environment and on-site PD measurements are simulated. The principle of denoising based on multi-resolution signal decomposition (MSD) is implemented. The validation of WT technique is carried out by comparing its effectiveness with other available filtering techniques. Rogowski coil is used as a PD sensor to capture PD signals in this specific application. In the future, the proposed method will be implemented in a real-life environment to get more stable and reliable on-line/on-site PD measurement results for enhanced fault detection in smart distribution networks.

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KW - electromagnetic disturbances

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KW - Rogowski coil

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KW - wavelet transform

M3 - Article

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EP - 4064

JO - International Review of Electrical Engineering

JF - International Review of Electrical Engineering

SN - 1827-6660

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