DocumentCode :
1755938
Title :
Understanding and analysis on frequency dielectric parameter for quantitative diagnosis of moisture content in paper–oil insulation system
Author :
Ruijin Liao ; Jiefeng Liu ; Lijun Yang ; Jun Gao ; Yiyi Zhang ; YanDong Lv ; Hanbo Zheng
Author_Institution :
State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China
Volume :
9
Issue :
3
fYear :
2015
fDate :
3 2015
Firstpage :
213
Lastpage :
222
Abstract :
The ageing rate of cellulose insulation materials (paper/pressboard) in oil-impregnated transformers is largely determined by moisture. In this paper, several experiments were conducted under controlled laboratory conditions to quantitatively diagnose the amount of moisture in cellulose insulation using frequency domain spectroscopy (FDS) technique, which has been proven to be an effective tool to predict the insulation condition in oil-impregnated power equipment. The frequency dielectric response in oil-impregnated pressboards, moisture content as well as test temperature, was monitored carefully, and a new dielectric characteristic parameter for the diagnosis of moisture content was proposed. In addition, the master curve technique was introduced to calibrate the temperature effect on FDS measurement results. These experiments revealed that a strong correlation exists between frequency dielectric parameter and moisture content in cellulose insulation. Such correlation can be utilised for better prediction of moisture content in paper-oil insulation. A modified assessment method for the diagnosis of moisture content in paper-oil insulation was investigated and its effectiveness was also demonstrated using a case.
Keywords :
frequency-domain analysis; paper; spectroscopy; transformer oil; FDS measurement; FDS technique; ageing rate; cellulose insulation materials; controlled laboratory conditions; dielectric characteristic parameter; frequency dielectric parameter; frequency dielectric response; frequency domain spectroscopy technique; insulation condition prediction; master curve technique; moisture content; moisture content diagnosis; moisture content prediction; oil-impregnated power equipment; oil-impregnated pressboards; oil-impregnated transformers; paper; paper-oil insulation system; pressboard; quantitative diagnosis; test temperature;
fLanguage :
English
Journal_Title :
Electric Power Applications, IET
Publisher :
iet
ISSN :
1751-8660
Type :
jour
DOI :
10.1049/iet-epa.2014.0101
Filename :
7055384
Link To Document :
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