2014 ICHVE International Conference on High Voltage Engineering and Application 2014
DOI: 10.1109/ichve.2014.7035416
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Analysis of online capacitor switching transient voltages on experimental MV cables

Abstract: Underground residential distribution (URD) power cables are a g ed due to electrical, thermal, mechanical and environmental stress durin g their service. For utilities, the online monitorin g and dia g nostics of the dielectric conditions of the cables hel p in mana g in g their cable asset. One of the cable online diagnostic methods is based on analysis of the ca p acitor switchin g sur g e transient voltages on cable.

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Cited by 5 publications
(3 citation statements)
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“…The monitoring signals and frequency range which own large frequency sensitivities will be selected for parameter identification. From the sensitivity curves as shown in this figure, according to the selection principle and considering this method will extract the relative permittivities of the three phases at the same time, the selected monitoring signals are exhibited in (15), and the frequency range is selected as 10~15kHz.…”
Section: Selection Of the Monitoring Signals And Frequency Rangementioning
confidence: 99%
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“…The monitoring signals and frequency range which own large frequency sensitivities will be selected for parameter identification. From the sensitivity curves as shown in this figure, according to the selection principle and considering this method will extract the relative permittivities of the three phases at the same time, the selected monitoring signals are exhibited in (15), and the frequency range is selected as 10~15kHz.…”
Section: Selection Of the Monitoring Signals And Frequency Rangementioning
confidence: 99%
“…By using the solution of the cross-bonded cable model in (12) with selected signals in (15), the optimization problem can be written as following: and it can be calculated by the measurements in M2 and the transfer matrix T. Here T(n,:) represents the n th row of matrix T, which relates to the corresponding selected signal.…”
Section: Selection Of the Monitoring Signals And Frequency Rangementioning
confidence: 99%
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