Title :
Insulation ageing diagnosis of XLPE power cables under service conditions
Author :
Fei Liu ; Xingyi Huang ; Jing Wang ; Pingkai Jiang
Author_Institution :
Dept. of Polymer Sci. & Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
Forty percent of transmission and distribution power grids are composed of underground cables in Shanghai, a city with abundance surface water. The cables are subjected to a variety of stress factors due to the complicated underground environment and the ageing process is accelerated consequently. Lots of cables have been in service for over 20 years and there tends to be frequent accidents due to cable failures. So it´s necessary to research the insulation ageing state of cables under unique service conditions. Six physical and chemical analysis had been performed on samples of about 300 cable lines in Shanghai, including water tree investigation, tensile test, dielectric spectroscopy test, TGA, FTIR and electrical ageing test. By statistical analysis and fuzzy clustering, the parameters for identifying and quantifying the XLPE cable insulation aging state were presented and the influence of laying method and sampling section on the degradation of cable insulation was also studied. Based on fuzzy theory, a cable insulation ageing diagnosis model was established, which was proved to be applicable by case study. A database was also developed for cable maintenance according to the multi-parameter test data and diagnosis model.
Keywords :
Fourier transform spectra; XLPE insulation; ageing; cable laying; failure analysis; fuzzy set theory; infrared spectra; pattern clustering; power cable insulation; power grids; statistical analysis; stress analysis; tensile testing; thermal analysis; trees (electrical); underground cables; FTIR; Shanghai; TGA; XLPE cable insulation aging state; XLPE power cables; abundance surface water; ageing process; cable failures; cable insulation ageing diagnosis model; cable laying method; cable lines; cable maintenance; chemical analysis; diagnosis model; dielectric spectroscopy test; distribution power grids; electrical ageing test; fuzzy clustering; fuzzy theory; insulation ageing diagnosis; multiparameter test data; statistical analysis; stress factors; tensile test; transmission power grids; underground cables; underground environment; water tree investigation; Aging; Communication cables; Power cable insulation; Power cables; Trees - insulation; XLPE cable; fuzzy clustering; insulation diagnosis; statistical analysis;
Conference_Titel :
Condition Monitoring and Diagnosis (CMD), 2012 International Conference on
Conference_Location :
Bali
Print_ISBN :
978-1-4673-1019-2
DOI :
10.1109/CMD.2012.6416228