The Feasibility of Cable Sheath Fault Detection by Monitoring Sheath-to-Ground Currents at the Ends of Cross-Bonding Sections

Marzinotto, M.; Mazzanti, G.

doi:10.1109/tia.2015.2409802

Cited by 42 publications

(18 citation statements)

References 15 publications

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“…To illustrate the superiority of the presented method, several popular algorithms for identification of signal arrival time have been compared. They are: The threshold method [19,20]: Searches for the first crest of the traveling signal with a set threshold and uses the difference of the trigger time detected by the threshold on the rising edge (or falling edge) of the first crest as the time difference of the two signals. Clearly, this method is susceptible to noise, and a single threshold cannot be determined for all cases.…”

Section: The Comparison Of Several Popular Algorithms For the Arrimentioning

confidence: 99%

A Novel Traveling-Wave-Based Method Improved by Unsupervised Learning for Fault Location of Power Cables via Sheath Current Monitoring

Liu

Zhu

et al. 2019

Sensors

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In order to improve the practice in maintenance of power cables, this paper proposes a novel traveling-wave-based fault location method improved by unsupervised learning. The improvement mainly lies in the identification of the arrival time of the traveling wave. The proposed approach consists of four steps: (1) The traveling wave associated with the sheath currents of the cables are grouped in a matrix; (2) the use of dimensionality reduction by t-SNE (t-distributed Stochastic Neighbor Embedding) to reconstruct the matrix features in a low dimension; (3) application of the DBSCAN (density-based spatial clustering of applications with noise) clustering to cluster the sample points by the closeness of the sample distribution; (4) the arrival time of the traveling wave can be identified by searching for the maximum slope point of the non-noise cluster with the fewest samples. Simulations and calculations have been carried out for both HV (high voltage) and MV (medium voltage) cables. Results indicate that the arrival time of the traveling wave can be identified for both HV cables and MV cables with/without noise, and the method is suitable with few random time errors of the recorded data. A lab-based experiment was carried out to validate the proposed method and helped to prove the effectiveness of the clustering and the fault location.

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Section: The Comparison Of Several Popular Algorithms For the Arrimentioning

confidence: 99%

A Novel Traveling-Wave-Based Method Improved by Unsupervised Learning for Fault Location of Power Cables via Sheath Current Monitoring

Liu

Zhu

et al. 2019

Sensors

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“…Cable sheath currents depend on the asymmetry of the three-phase load currents, the laying methods, the length of cables in each of the minor sections, the number of major sections and external electromagnetic environment [ 19 , 20 , 21 , 22 ]. HV cable sheath currents contain induced current and leakage current.…”

Section: Cross-bonded Cable Sheath Currents and Proposed Online Momentioning

confidence: 99%

A Novel Fault Location Method for a Cross-Bonded HV Cable System Based on Sheath Current Monitoring

Zhou

et al. 2018

Sensors

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In order to improve the practice in the operation and maintenance of high voltage (HV) cables, this paper proposes a fault location method based on the monitoring of cable sheath currents for use in cross-bonded HV cable systems. This method first analyzes the power–frequency component of the sheath current, which can be acquired at cable terminals and cable link boxes, using a Fast Fourier Transform (FFT). The cable segment where a fault occurs can be localized by the phase difference between the sheath currents at the two ends of the cable segment, because current would flow in the opposite direction towards the two ends of the cable segment with fault. Conversely, in other healthy cable segments of the same circuit, sheath currents would flow in the same direction. The exact fault position can then be located via electromagnetic time reversal (EMTR) analysis of the fault transients of the sheath current. The sheath currents have been simulated and analyzed by assuming a single-phase short-circuit fault to occur in every cable segment of a selected cross-bonded high voltage cable circuit. The sheath current monitoring system has been implemented in a 110 kV cable circuit in China. Results indicate that the proposed method is feasible and effective in location of HV cable short circuit faults.

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“…However, cable faults occur frequently in the processes of designing, manufacturing and constructing cables, and they are difficult to directly detect because most cables are buried directly underground or laid on the seabed [1]. Therefore, the rapid and accurate location of cable faults is of great significance to ensure the safe and stable operation of power systems [2,3].…”

Section: Introductionmentioning

confidence: 99%

Incipient Fault Location Method of Cable Based on Both-End Electric Quantities

Pan

Sun

et al. 2020

IEEE Access

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The Feasibility of Cable Sheath Fault Detection by Monitoring Sheath-to-Ground Currents at the Ends of Cross-Bonding Sections

Cited by 42 publications

References 15 publications

A Novel Traveling-Wave-Based Method Improved by Unsupervised Learning for Fault Location of Power Cables via Sheath Current Monitoring

A Novel Traveling-Wave-Based Method Improved by Unsupervised Learning for Fault Location of Power Cables via Sheath Current Monitoring

A Novel Fault Location Method for a Cross-Bonded HV Cable System Based on Sheath Current Monitoring

Incipient Fault Location Method of Cable Based on Both-End Electric Quantities

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