Condition prediction for oil-immersed cellulose insulation in field transformer using fitting fingerprint database

Liu, Jiefeng; Fan, Xianhao; Zhang, Yiyi; Zheng, Hanbo; Zhang, Chaohai

doi:10.1109/tdei.2019.008442

Cited by 40 publications

(31 citation statements)

References 25 publications

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“…The purpose of this chapter is to find out the relevant frequency response feature parameter, which could characterize the moisture content but slightly affected by its aging condition. In the previous researches [14,15], the authors demonstrated that with the aggravating of the aging degree of transformer polymer insulation, the FDS curve changes remarkably in low-frequency regions, while remaining unchanged in high-frequency regions. Therefore, the frequency response information extracted from the high-frequency regions can be used to characterize the moisture content inside the transformer polymer insulation without being affected by its aging condition.…”

Section: The Improved Aging Kinetics Model By Employing Frequency Diementioning

confidence: 95%

“…Furthermore, if the mc% in the formula is offset and the quantitative relationship between IV and ω DP /k DP is established directly, the processed formula is written as ω DP = g[f −1 (IV)], and k DP = p[f −1 (IV)]. Then, the model for aging condition prediction based on IV can be derived, which is shown in Equation (15).…”

Section: The Improved Aging Kinetics Model By Employing Frequency Diementioning

confidence: 99%

“…Obviously, relying on the simultaneous analysis of Equation (15) and Equation (18), the resulting modified model will be suitable for predicting the aging condition of transformer polymer insulation operating (or prepared) at different temperatures, which is presented in Equation (19).…”

Section: A Modified Aging Kinetics Model For Aging Condition Predictimentioning

confidence: 99%

“…Therefore, the qualitative or quantitative analysis of the DP value of polymer materials can be Polymers 2019, 11,2082 2 of 15 realized by the relevant feature parameter extracted from the FDS data. In literature [14,15], the integral value of the FDS curve is computed and applied as the feature parameter for achieving the above goal. In addition, the equivalent circuit model that is capable of analyzing the corresponding aging condition is also reported, such as the Cole-Cole model [16], the Havriliak-Negami model [17], the Davidson-Cole model [18], and the Dissado-Hill model [19].…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the equivalent circuit model that is capable of analyzing the corresponding aging condition is also reported, such as the Cole-Cole model [16], the Havriliak-Negami model [17], the Davidson-Cole model [18], and the Dissado-Hill model [19]. However, it is a fact that the contribution of the aging condition on measured FDS data could be easily covered by the moisture effect [13][14][15]. Therefore, it is rather difficult to accurately analyze the aging condition of the transformer polymer insulation and merely rely on the FDS technique in case the inside moisture is too high.…”

Section: Introductionmentioning

confidence: 99%

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A Modified Aging Kinetics Model for Aging Condition Prediction of Transformer Polymer Insulation by Employing the Frequency Domain Spectroscopy

et al. 2019

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The aging kinetics model is of great interest to scholars since it is capable of describing the variation law between the degree of polymerization (DP) and the aging duration of transformer polymer (cellulose) insulation. However, it is difficult to determine the moisture content inside the transformer polymer insulation without destroying it, so that the model parameters cannot be confirmed. Such limitation greatly restricts its application. It is interesting to note that as long as the moisture content of the transformer polymer insulation could be characterized (replaced) by a certain feature parameter, the above issue will be solved naturally. The existing researches indicate that the Frequency Domain Spectroscopy (FDS) is sensitive to moisture. Consequently, the feature parameter that could characterize the moisture inside transformer polymer insulation (extracted from the FDS curve) can be used to report a modified aging kinetics model, which could perform the aging condition prediction of transformer polymer insulation under various test conditions, including aging duration, aging temperature, and initial moisture. In that respect, the average relative error of prediction results of prepared samples is equal to 7.41%, which reveals that the reported model might be serviced as a potential tool for the aging condition prediction of transformer polymer insulation.

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Section: The Improved Aging Kinetics Model By Employing Frequency Diementioning

confidence: 95%

Section: The Improved Aging Kinetics Model By Employing Frequency Diementioning

confidence: 99%

Section: A Modified Aging Kinetics Model For Aging Condition Predictimentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Modified Aging Kinetics Model for Aging Condition Prediction of Transformer Polymer Insulation by Employing the Frequency Domain Spectroscopy

et al. 2019

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Insulating Paper Cellulose with High Mechanical Performance and Low Polarizability: The Effect of Doping Concentration on Polyhedral Oligomeric Silsesquioxanes‐Modified Cellulose

et al. 2021

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To study the effect of doping concentration on polyhedral oligomeric silsesquioxane (POSS)‐modified cellulose and its internal mechanism, molecular dynamics is used to establish a pure cellulose model and 1, 2, 3, 4, and 5 wt% POSS‐modified cellulose models, and the cohesive energy density and solubility parameter, mechanical properties, free volume, mean square displacement, and polarizability are calculated at 343 K. The simulation results show that the addition of POSS effectively improves the compatibility and mechanical performance of cellulose and at the same time enhances its thermal stability. Among the five modified cellulose models, the modification effect of the 3 wt% POSS‐modified cellulose model is the best. It is also found that the addition of POSS effectively reduces the polarizability of cellulose and even the electric field distribution in the oil paper insulation system, so as to enhance the insulation of the transformer. With the increase in concentration, the polarizability decreases.

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Diagnosis of Moisture Content in Oil-Paper Bushings Using Statistical Indicators Based on Frequency Domain Spectroscopy

Ansari

Vahedi

Khlyupin

et al. 2021

Electromechanics and Robotics

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Condenser bushings are considered the Achilles' heel of power transformers because most of the explosions of transformers relate to their bushings' failure. Typical bushings monitoring methods measure the tan delta, power factor, and bushings' capacitance in line frequency. In contrast, the dielectric frequency response (DFR) or the frequency domain spectroscopy (FDS) measures these parameters over a wide frequency range. Some studies have revealed that the FDS curves have distinguished data that help detect bushing failures in their onset. However, there has not been a standard FDS interpretation method. Human experts' opinions play a considerable role in the interpretation process. In this paper, a finite element method model of a 96 kV oil-impregnated paper bushing is built with different OIP moisture content. The FDS test is simulated under these moisture levels. Seven twoarray and six one-array statistical indices are introduced to interpret the FDS results. The results have shown that all six one-array statistical indices, apart from average deviation (AVEDEV) and standard deviation (SD), can be perfect indicators of moisture levels of the OIP. Moreover, they can be used to assess the moisture content of the OIP bushings, and human errors are eliminated using this method.

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Condition prediction for oil-immersed cellulose insulation in field transformer using fitting fingerprint database

Cited by 40 publications

References 25 publications

A Modified Aging Kinetics Model for Aging Condition Prediction of Transformer Polymer Insulation by Employing the Frequency Domain Spectroscopy

A Modified Aging Kinetics Model for Aging Condition Prediction of Transformer Polymer Insulation by Employing the Frequency Domain Spectroscopy

Insulating Paper Cellulose with High Mechanical Performance and Low Polarizability: The Effect of Doping Concentration on Polyhedral Oligomeric Silsesquioxanes‐Modified Cellulose

Diagnosis of Moisture Content in Oil-Paper Bushings Using Statistical Indicators Based on Frequency Domain Spectroscopy

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