A novel calibration method for PD measurement in power cables and joints using capacitive couplers


Zhong, L, Chen, G and Xu, Y (2004) A novel calibration method for PD measurement in power cables and joints using capacitive couplers. Measurement Science and Technology, Vol.15, 1892-1896.

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Description/Abstract

Partial discharge (PD) measurements are universally accepted as a technique giving some indication of the state of the insulation in high voltage apparatus. Cable end users are keen to adopt an on-line PD monitoring during commissioning of systems. However, because of noisy environments and the problems of interference the conventional methods are difficult to implement. As a consequence, ultra-high frequency (UHF) / very high frequency (VHF) techniques of on-site detection of partial discharges have been developed. A technique based on the capacitive coupling has received much attention. It has been demonstrated that it is possible to using the technique to monitor the partial discharge in cables, particularly in joints/terminations. However, in order to obtain quantitative information about PD, calibration is required for this technique. Existing calibration methods are difficulty to implement on-site. In this paper a novel method is proposed and compared with the conventional method on a short piece of cable. It has been shown that individual capacitive coupler can also be accurately calibrated on-site and online using the new method, therefore it provides quantitative information about the amount of apparent discharge. In practice this is important for electricity utilities as the quantitative information about PD can be used to determine the quality of cable system and to decide whether the system needs to be repaired or replaced.

Item Type: Article
ISSNs: 0957-0233
Keywords: Polymeric power cable, partial discharge, capacitive coupler, calibration
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science
Faculty of Physical Sciences and Engineering > Electronics and Computer Science > EEE
ePrint ID: 260175
Date Deposited: 02 Dec 2004
Last Modified: 27 Mar 2014 20:02
Publisher: IOP
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/260175

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