DocumentCode :
1695009
Title :
Techniques of on-line monitoring and diagnosis for transformer
Author :
Zhang Guangming ; Jiang GuoLian ; Xie ZhiXun
Author_Institution :
TBEA Shenyang Transformer Group Co. Ltd., Shenyang, China
Volume :
1
fYear :
2011
Firstpage :
512
Lastpage :
516
Abstract :
The transformer is crucial for the energy conversion and transmission in the process of power transmission and distribution, and plays an important role in the security of grid. On-line monitoring and diagnostics provides a promising platform not only to help the operators to manage transformer in a targeted fault repair and maintenance manner, but also to avoid fatal accidents. This paper describes the technique of oil dissolved gas analysis (DGA) using combined diagnoses method based on Borda rule, which can improve the accuracy of the results. Partial discharge is both the symptom and reason of transformer insulation degradation. Technique of partial discharge monitoring can detect the level of PD and growth rate though pulse current, ultrasonic detection, ultra-high frequency detection method and detection of light. It indicates the changes taking place within the transformer or reflects solid insulation voids, metal particles, air bubbles etc. due to some defects arising. The DGA and PD is the most widely used on-line monitoring technique. If all the monitoring technology performs reasonably well, they can better help transformer operator to monitor the current state of operation and make decisions on continuing operation, maintenance or replacement.
Keywords :
partial discharges; power grids; power transmission faults; transformer insulation; DGA; PD; Partial discharge; energy conversion; fatal accidents; grid security; light detection; oil dissolved gas analysis; online monitoring; power transmission process; pulse current; transformer diagnosis; ultrahigh frequency detection method; ultrasonic detection; Circuit faults; Monitoring; Oil insulation; Partial discharges; Power transformer insulation; Borda rule; DGA; on-line monitoring; partial discharge;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Power System Automation and Protection (APAP), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9622-8
Type :
conf
DOI :
10.1109/APAP.2011.6180455
Filename :
6180455
Link To Document :
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