Paper Info
Title
Extracting Frequency Spectroscopy of Oil-Immersed Paper Based on Havriliak-Negami Model Without Known Insulation Structure of Transformer
Abstract
When using the frequency domain spectroscopy (FDS) method to evaluate the insulation condition of a transformer, it is essential to calculate the frequency spectroscopy of the oil-immersed paper from the major insulation of transformer with the structural parameters. However, in on-site measurement, the structure of the transformer is often unknown, which greatly limits the application of the FDS method. This article proposed a method for extracting the frequency spectroscopy of oil-immersed paper from the oil-paper insulation without the known insulation structure. First, the frequency spectroscopy of the oil-immersed paper with different moisture content, aging states, and temperatures was measured and analyzed. The results showed that the Havriliak-Negami (H-N) model with hopping conductivity is the most suitable frequency spectroscopy model for the oil-immersed paper in different conditions. Second, the transformer insulation model was constructed, and the frequency spectroscopy of the corresponding oil-immersed paper was calculated. The calculation showed that the error of the structural parameters influences the calculated frequency spectroscopy of oil-immersed paper, especially in the low moisture condition, which leads to the increase of the fitting residual of the H-N model. According to the smallest fitting residual, the structural parameters can be analyzed, and the frequency spectroscopy of oil-immersed paper can be extracted accurately from the oil-paper insulation without the known insulation structure.
Year
DOI
Venue
2022
10.1109/TIM.2022.3181296
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Keywords
DocType
Volume
Spectroscopy, Frequency measurement, Moisture, Dielectrics, Power transformer insulation, Oil insulation, Aging, Frequency domain spectroscopy (FDS), Havriliak-Negami (H-N) model, oil-immersed paper, oil-paper insulation, transformer
Journal
71
ISSN
Citations 
PageRank 
0018-9456
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Qingchuan Xu100.34
Shengkang Wang200.34
Fuchang Lin300.68
Hua Li432.55