Title :
A comparative analysis of characteristics of different partial discharge signals detected by F-P optical fiber sensor in the transformer
Author :
Du Jiazhen ; Wang Wei ; Li Fuping ; Gu Jiefeng ; Wang Mingmin
Author_Institution :
Beijing Key Lab. of High Voltage & EMC, North China Electr. Power Univ., Beijing, China
Abstract :
Unlike other kinds of optical fiber testing methods, Fabry-Perot (F-P) optical fiber ultrasonic sensing technology is to detect the ultrasonic generated in the process of partial discharge (PD) in the oil. As F-P optical fiber sensor is highly sensible, resistant to interference and high-voltage potential, simple in structure and can be installed in the transformer, it guarantees an accurate and effective monitoring of partial discharge in the transformers. In order to identify the differences of signals´ characteristics detected by F-P optical fiber sensors in different types of faults, this paper builds four typical partial discharge models, namely suspended discharge, point discharge, surface discharge and oil gap discharge. As different forms of partial discharge have different time-frequency characteristics, equivalent time-frequency method is chosen to compare the characteristics of the signals and different time-frequency diagrams are given. Patterns of partial discharge are distinguished through the comparative analysis of these time-frequency diagrams.
Keywords :
fibre optic sensors; partial discharges; power transformers; time-frequency analysis; F-P optical fiber sensor; F-P optical fiber ultrasonic sensing technology; Fabry-Perot optical fiber ultrasonic sensing technology; oil gap discharge; optical fiber testing methods; partial discharge models; partial discharge signals; point discharge; surface discharge; suspended discharge; time-frequency characteristics; time-frequency diagrams; Dielectrics; Insulation; F-P optical fiber sensor; equivalent time-frequency diagram; optical-ultrasonic; partial discharge; transformer;
Conference_Titel :
Electrical Insulation and Dielectric Phenomena (CEIDP), 2014 IEEE Conference on
Conference_Location :
Des Moines, IA
DOI :
10.1109/CEIDP.2014.6995735