DocumentCode :
2515515
Title :
Using grey theory to predict the gas-in-oil concentrations in oil-filled transformer
Author :
Baokui, Yuan ; Jiwei, Guo ; Guoqing, Tang ; Lei, Wang
Author_Institution :
Dept. of Electr. Eng., Southeast Univ., Nanjing, China
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
217
Abstract :
The gas-in-oil concentrations are used to diagnose oil-filled transformer insulation. According to National Criteria, the measuring period for gas-in-oil concentrations of oil-filled transformer is 3 months at least, and besides, the measuring procedure is complicated. As on-line measurements of gas chromatography are not completely implemented, it is difficult to acquire the gas-in-oil concentrations timely. For making up the disadvantages, a new method based on Grey Theory to predict the gas-in-oil concentrations is proposed in this paper. Using this method, the gas-in-oil concentrations at any future time can be predicted, hence the insulation of oil-filled transformer can be also diagnosed. It is approved to be a simple, accurate and practically useful method to predict the gas-in-oil concentrations of oil-filled transformer and other analogous electrical equipment
Keywords :
transformer oil; electrical equipment; gas chromatography; gas-in-oil concentration; grey theory; insulation diagnosis; oil-filled transformer; on-line measurement; prediction model; Dielectrics and electrical insulation; Gas chromatography; Gas insulation; Oil insulation; Petroleum; Power measurement; Power system modeling; Power transformer insulation; Power transformers; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Properties and Applications of Dielectric Materials, 2000. Proceedings of the 6th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
0-7803-5459-1
Type :
conf
DOI :
10.1109/ICPADM.2000.875670
Filename :
875670
Link To Document :
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