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Dielectric model of water trees in an XLPE cable
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering.
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering.
2008 (English)In: International Symposium on Electrical Insulating Materials (ISEIM 08), Yokkaichi, Japan, 2008, 448-451 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper a water-tree degraded insulation is modeled as a matrix composed of cubic cells. In the model there are three types of cells: pure XLPE, XLPE with water inclusion and the XLPE cell with a cylindrical water channel. Voltage dependant dielectric properties of the water-trees are modeled by an elongation of the inclusions and appearance of the conducting channels caused by the Maxwell stress. Afterwards the modeled effective permittivity of the insulation matrix is compared with the dielectric spectroscopy measurements of a field aged XLPE cable.

Place, publisher, year, edition, pages
Yokkaichi, Japan, 2008. 448-451 p.
Keyword [en]
Water trees; model; dielectric permittivity; high voltage; XLPE; power cable
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-9869DOI: 10.1109/ISEIM.2008.4664582ISI: 000262126300112Scopus ID: 2-s2.0-58049105879ISBN: 978-4-88686-005-7 (print)OAI: oai:DiVA.org:kth-9869DiVA: diva2:134367
Conference
International Symposium on Electrical Insulating Materials Mie, JAPAN, SEP 07-11, 2008
Note
QC 20100709Available from: 2009-01-20 Created: 2009-01-20 Last updated: 2011-03-25Bibliographically approved
In thesis
1. Development of on-line diagnostic methods for medium voltage XLPE power cables
Open this publication in new window or tab >>Development of on-line diagnostic methods for medium voltage XLPE power cables
2009 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

On-line diagnostics of power system components is an important area since it allows the diagnostics to be performed at regular intervals during the normal operation of the components. This combined with reliability centered maintenance could lead to reduced customer outages. In this thesis the on-line diagnostic methods for medium voltage cross-linked polyethylene (XLPE) cables are investigated based on Time Domain Reflectometry (TDR).

Degradation of XLPE insulated power cables by water-trees (WT) is a primary cause of failure of these cables. The detection of WT and information about the severity of the degradation can be obtained with off-line measurements using dielectric spectroscopy.  In many situations only a limited part of the cable may be degraded by the WT. In such a situation a method for localization of this WT section would be desirable.

The developed high frequency measurements superimposed on HV system is presented. It was used to measure the propagation constant of the WT aged cables as a function of the applied HV. This was done in order to study the diagnostic criteria, which could be used for on-line TDR diagnostics of WT aged cables.

A physically based dielectric model of WT was developed in order to explain qualitatively and quantitatively the permittivity and loss of WT at different frequencies and voltages.

The sensors applicable for the on-line TDR were investigated in terms of sensitivity and bandwidth. High frequency models were built and the simulation results in frequency and time domains were verified by measurements.

The developed on-line TDR systems are presented. Their applicability to detect water penetration under the cable sheath and localize the broken screen wires was investigated during the measurements in laboratory environment.

The results of field measurements with on-line TDR are presented. Variations due to load cycling of the cable were observed, where an increase in the cable temperature cause an increase of the pulse propagation velocity in the cable. The temperature dependent wave propagation in the cable is investigated and explained by modeling.

Place, publisher, year, edition, pages
Stockholm: KTH, 2009. x, 119 p.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-9872 (URN)978-91-7415-220-3 (ISBN)
Public defence
2009-02-13, F3, Lindstedsvägen 26, KTH, Stockholm, 10:15 (English)
Opponent
Supervisors
Note
QC 20100709Available from: 2009-01-29 Created: 2009-01-20 Last updated: 2010-07-12Bibliographically approved

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