Residual Life Assessment Method of Transformer Oil-Paper Insulation Aging Based on Wiener Modle

被引：0

作者：

Zhang M. ^{[1
,2
]}

Liu J. ^{[1
,2
]}

Chen X. ^{[1
]}

Liao L. ^{[1
]}

Chen Q. ^{[1
,2
]}

机构：

[1] Key Laboratory of Engineering Dielectrics and Its Application Ministry of Education, Harbin University of Science and Technology, Harbin

[2] State Key Laboratory Breeding Base of Dielectrics Engineering, Harbin University of Science and Technology, Harbin

来源：

Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2018年 / 33卷 / 21期

关键词：

Bayesian method; EM algorithm; Oil paper insulation; Residual life assessment; Wiener model;

D O I：

10.19595/j.cnki.1000-6753.tces.171587

中图分类号：

学科分类号：

摘要：

The safe and stable operation of the transformer is an important guarantee for reliable power supply. In order to reasonably predict residual life of oil paper insulation for single transformer in actual operation. This paper provides a prediction method for residual life of oil-paper insulation system of single transformer. Firstly this paper selects the Wiener stochastic model as the theoretical basis. And the residual probability density function equation is established. Secondly the Bayesian rule is used to update the parameters in real time. Meanwhile, the EM algorithm is used to update the iteration parameter. Finally the purpose of the prediction of residual life is achieved. In order to verify the accuracy of the residual life prediction method further. Accelerated thermal aging test at 130℃ in laboratory. The furfural degradation data and the degree of polymerization of pressboard were obtained. The degradation data are combined with the above algorithms. The measured residual life of oil-paper insulation compared calculation result. The accuracy of residual life prediction of transformer oil impregnated pressboard is verified. © 2018, Electrical Technology Press Co. Ltd. All right reserved.

引用

页码：5098 / 5108

页数：10

共 22 条

[1]

Liu Y., Dong M., Ren M., Et al., Contrastive study of XY model and finite element model in dielectric spectrum simulation of oil-paper insulation, High Voltage Engineering, 40, 11, pp. 3483-3490, (2014)

[2]

Wei J., Wang S., Peng H., Et al., Investigation of dielectric response characteristics of transformer oil-paper insulation dielectric spectroscopy of acceleratedly thermal aging, Transactions of China Electrotechnical Society, 27, 5, pp. 56-62, (2012)

[3]

Liao R., Hao J., Yang L., Et al., Simulation and experimental study on frequency-domain dielectric spectroscopy of oil-paper insulation for transformers, Proceedings of the CSEE, 30, 22, pp. 113-119, (2010)

[4]

Li X., Chang Y., Luo Y., Et al., Remnant life estimation of power transformer based on health index, High Voltage Apparatus, 48, 12, pp. 80-86, (2012)

[5]

Hamed Z.M., Behrooz V., Health index calculation for power transformers using technical and economical parameters, IET Science, Measurement & Technology, 10, 7, pp. 823-830, (2016)

[6]

Li L., Zhang D., Xie L., Et al., A condition assessment method of power transformers based on association rules and variable weight coefficients, Proceedings of the CSEE, 33, 24, pp. 152-159, (2013)

[7]

Wang M., Vandermaar A.J., Srivastava K.D., Review of condition assessment of power transformers in service, IEEE Electrical Insulation Magazine, 18, 6, pp. 12-25, (2002)

[8]

Emsley A., Xiao X., Heywood R., Et al., Degradation of cellulosic insulation in power transformers. Part 2: Formation of Furan Products in Insulating oil, IEE Proceedings-Science, Measurement and Technology, 147, 3, pp. 110-114, (2000)

[9]

Abu-Siada A., Lai S., Islam S., A novel fuzzy-logic approach for furan estimation in transformer oil, IEEE Transactions on Power Delivery, 27, 2, pp. 469-474, (2012)

[10]

Pradhan M., Assessment of the status of insulation during thermal stress accelerated experiments on transformer prototypes, IEEE Transactions on Dielectrics and Electrical Insulation, 13, 1, pp. 227-237, (2006)

← 1 2 3 →