Impact of temperature on the frequency domain dielectric spectroscopy for the diagnosis of power transformer insulation

Yew, J.H.; Saha, Tapan Kumar; Thomas, Andrew

doi:10.1109/pes.2006.1709037

Cited by 55 publications

(28 citation statements)

References 5 publications

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“…The nature of variation of these parameters with respect to temperature has been studied. From these natures, the aging and moisture content in the oil-paper insulation is predicted which was close to actual aging and moisture content of the power transformer [3][4].…”

Section: Introductionsupporting

confidence: 68%

Comparative study on the effect of temperature on frequency domain spectroscopy results under sinusoidal and triangular excitation

Pradhan

Chatterjee

Chakravorti

2012

2012 1st International Conference on Power and Energy in NERIST (ICPEN)

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Condition assessment of in-service power transformers are becoming increasingly important for maintaining reliable and uninterruptable power supply. Among non-invasive, modern condition assessment tools, frequency domain spectroscopy is predominant in determining the aging of oil-paper insulation in power transformers. However, the results of frequency domain spectroscopy are severely influenced by other parameters, such as temperature. Also, the voltages used for studying frequency response in the laboratory are usually sinusoidal in nature. But the insulation system in operation on site is stressed by voltage that may deviate significantly from a sinusoid. Thus the use of non-sinusoidal waveform in obtaining the dielectric response is desirable for advanced insulation diagnostic technique. Considering the aforesaid facts, in this paper frequency response analysis has been performed by applying sinusoidal as well as non sinusoidal waveforms at different temperatures. A laboratory prepared oil-paper insulation sample is used that emulated the composite insulation system of a transformer. The results from sinusoidal response show a good agreement with the conventional frequency response analysis thereby validating the proposed methodology. From non-sinusoidal response, added information is obtained for closer interpretation of the actual physical condition of the sample under test.

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Section: Introductionsupporting

confidence: 68%

Comparative study on the effect of temperature on frequency domain spectroscopy results under sinusoidal and triangular excitation

Pradhan

Chatterjee

Chakravorti

2012

2012 1st International Conference on Power and Energy in NERIST (ICPEN)

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“…Meanwhile, compared with RVM and PDC, FDS technique carries abundant insulation information and has strong anti-interference capacity. Therefore, FDS technique has a potential application for condition diagnosis of transformer oil-paper insulation [22,23]. For diagnostic studies of insulation condition, it has been proved that dielectric response spectrum of oil-paper insulation has close links with moisture content and aging state [24, 26-29, 30, 31].…”

Section: Introductionmentioning

confidence: 99%

Quantitative analysis of insulation condition of oil-paper insulation based on frequency domain spectroscopy

Liao

Liu²,

Yang³

et al. 2015

IEEE Trans. Dielect. Electr. Insul.

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In order to distinguish the influences of moisture and aging on the frequency domain dielectric response of oil-paper insulation and better apply frequency domain spectroscopy (FDS) to assess the insulation condition of power transformers, the oil-paper insulation samples with different moisture contents and different aging states were prepared in the laboratory. The FDS of the samples were tested and a group of characteristic parameters were extracted from dissipation factor (tanδ) curves which could be used to assess the moisture content and aging states of oil-paper insulation respectively. The quantitative relationship among characteristic parameters, degree of polymerization (DP) and moisture contents (K m.c ) was accurately established. The observations show that the proposed characteristic parameters are sensitive to the moisture in 10 -3 -10 2 Hz, while the aging states influence the characteristic parameters in 10 -3 -10 -1 Hz. Meanwhile, an exponential relationship equation which could be used to assess the oil-paper insulation condition was established among the characteristic parameters, DP and the moisture content. Finally, the evaluation technique proposed in this paper was used to diagnose the insulation condition of several field transformers in this way, and its validity was preliminary and reasonably verified.Index Terms -Frequency domain spectroscopy, oil-paper insulation, moisture content, aging state, dissipation factor, quantitative analysis.

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“…Compared to RVM and PDC, FDS provides abundant insulation information and exhibits a strong anti‐interference capacity. Therefore, FDS can be potentially applied to diagnose the conditions of transformer oil–paper insulation . However, most previous studies have only investigated the influence of temperature and moisture on the dielectric response spectrum in the laboratory and rarely employed quantitative moisture assessment .…”

Section: Introductionmentioning

confidence: 99%

Moisture determination of the main insulation in a transformer by frequency‐domain spectroscopy

Yao

Quan

Yang

et al. 2017

IEEJ Transactions Elec Engng

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The presence of moisture in the oil–paper insulation in a transformer drastically accelerates the aging process of the insulation and reduces the service life of the transformer. To analyse the influence of moisture on the dielectric response of the oil–paper insulation and to precisely determine the moisture content of the transformer by frequency‐domain spectroscopy, the modified Cole–Cole model is introduced to fit the frequency versus dielectric responses of the oil–paper insulation samples with different moisture contents, and the influence of the variation in moisture content on the parameters in the modified Cole–Cole model is investigated. Results show that the modified Cole–Cole model parameters, including the α and β relaxation components as well as the DC and hopping conductivity components, can be used to effectively fit the frequency versus dielectric response curve of the oil–paper insulation. The characteristic parameters τα and τβ in this model are found to be sensitive to changes in the moisture content. They can be used to quantitatively evaluate the moisture content in a transformer insulation system. A case study is presented to verify the effectiveness of the proposed technique in assessing the moisture content of onsite transformers. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Impact of temperature on the frequency domain dielectric spectroscopy for the diagnosis of power transformer insulation

Cited by 55 publications

References 5 publications

Comparative study on the effect of temperature on frequency domain spectroscopy results under sinusoidal and triangular excitation

Comparative study on the effect of temperature on frequency domain spectroscopy results under sinusoidal and triangular excitation

Quantitative analysis of insulation condition of oil-paper insulation based on frequency domain spectroscopy

Moisture determination of the main insulation in a transformer by frequency‐domain spectroscopy

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