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Energies 2017, 10(4), 509; doi:10.3390/en10040509

Condition Assessment of Paper Insulation in Oil-Immersed Power Transformers Based on the Iterative Inversion of Resistivity

1
School of Electrical Engineering, Wuhan University, Wuhan 430072, China
2
State Grid Hubei Electric Power Company Technology Training Center, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Academic Editor: Dongsheng Wen
Received: 14 November 2016 / Revised: 7 January 2017 / Accepted: 6 April 2017 / Published: 10 April 2017
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Abstract

The resistivity of oil impregnated paper will decrease during its aging process. This paper takes paper resistivity as an assessment index to evaluate the insulation condition of oil impregnated paper in power transformer. The feasibility of this method are discussed in two aspects: reliability and sensitivity. Iterative inversion of paper resistivity was combined with finite element simulation. Both the bisection method and Newton’s method were used as iterative methods. After the analysis and comparison, Newton’s method was selected as the first option of paper resistivity iteration for its faster convergence. In order to consider the spatial distribution characteristic of paper aging and enhance the calculation accuracy, the resistivity calculation is expanded to a multivariate iteration based on Newton’s method, in order to consider the spatial distribution characteristic of paper aging and improve the calculation accuracy. This paper presents an exploratory research on condition assessment of oil impregnated paper insulation, and provides some reference to the security and economy operation of power transformers. View Full-Text
Keywords: condition assessment; oil impregnated paper; resistivity; iteration condition assessment; oil impregnated paper; resistivity; iteration
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Ruan, J.; Jin, S.; Du, Z.; Xie, Y.; Zhu, L.; Tian, Y.; Gong, R.; Li, G.; Xiong, M. Condition Assessment of Paper Insulation in Oil-Immersed Power Transformers Based on the Iterative Inversion of Resistivity. Energies 2017, 10, 509.

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