Insulation condition diagnosis of oil-immersed paper insulation based on non-linear frequency-domain dielectric response

Zhang, Daning; Yun, Hao; Zhan, Jiasui; Sun, Xiang; He, Wei; Niu, Chaobin; Mu, Hai‐Bao; Zhang, Guanjun

doi:10.1109/tdei.2018.007076

Cited by 49 publications

(20 citation statements)

References 19 publications

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“…In Figure 12 , the test results at different voltages with the same wiring method are caused by the blocking effect of cellulose on ion movement [ 19 ]. With different wiring methods, the difference of tan δ - f is mainly caused by the macroscopic space charge polarization.…”

Section: Discussionmentioning

confidence: 99%

Effect of Radial Moisture Distribution on Frequency Domain Dielectric Response of Oil-Polymer Insulation Bushing

Zhang

Long

et al. 2020

Polymers

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In order to realize the diagnosis of water distribution, this paper analyzes the interface polarization and macroscopic space charge polarization mechanism when the water distribution is non-uniform. The experimental results of this paper and bushing show that when the moisture distribution is non-uniform, there is a significant loss peak in the tanδ-f curve. The loss peak shifts to higher frequencies as the non-uniformity coefficient increases. There are common intersection points between multiple tanδ-f curves. Further, this paper realizes the diagnosis of the location of moisture distribution through Frequency Domain Spectroscopy (FDS) testing of different voltages and different wiring methods based on the macroscopic space charge polarization. In the single-cycle FDS test, when the positive electrode is first added to the area with higher moisture content, the amplitude of the tanδ-f curve is smaller. The tanδ-f curves under different wiring methods constitute a “ring-shaped” loss peak. As the voltage increases, the peak value of the loss peak shifts to the lower frequency band. As the temperature increases, the peak value of the loss peak shifts to higher frequencies. Based on the above rules and mechanism analysis, this research provides a new solution for the evaluation of moisture content of oil-immersed polymers equipment.

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Section: Discussionmentioning

confidence: 99%

Effect of Radial Moisture Distribution on Frequency Domain Dielectric Response of Oil-Polymer Insulation Bushing

Zhang

Long

et al. 2020

Polymers

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“…Review existing investigation, the approaches for oil-immersed insulating condition prediction based on dielectric response spectroscopy can be divide into two types. One is based on extracting the feature parameters from the dielectric response curves [ 11 , 15 , 16 , 17 ]. The other is realized by establishing the equivalent circuit model to extract the feature parameters of dielectric response property [ 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

Moisture Prediction of Transformer Oil-Immersed Polymer Insulation by Applying a Support Vector Machine Combined with a Genetic Algorithm

Zhang

Fan

et al. 2020

Polymers

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The support vector machine (SVM) combined with the genetic algorithm (GA) has been utilized for the fault diagnosis of transformers since its high accuracy. In addition to the fault diagnosis, the condition assessment of transformer oil-immersed insulation conveys the crucial engineering significance as well. However, the approaches for getting GA-SVM used to the moisture prediction of oil-immersed insulation have been rarely reported. In view of this issue, this paper pioneers the application of GA-SVM and frequency domain spectroscopy (FDS) to realize the moisture prediction of transformer oil-immersed insulation. In the present work, a method of constructing a GA-SVM multi-classifier for moisture diagnosis based on the fitting analysis model is firstly reported. Then, the feasibility and reliability of the reported method are proved by employing the laboratory and field test experiments. The experimental results indicate that the reported prediction model might be serviced as a potential tool for the moisture prediction of transformer oil-immersed polymer insulation.

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“…The most commonly used state, in electrical engineering, is the solid one. An ideal dielectric material is a medium that does not contain any free electric charges which can move from molecule to molecule [1][2][3]. It is sometimes called electrical insulation.…”

Section: Introductionmentioning

confidence: 99%

“…Dependence, on both temperature and frequency, of both the dielectric constant (DK) and the dissipation factor (DF) has been already reported in many research papers [1,[6][7][8][9][10][11][12][13]. However, DK and DF in datasheets are average values (typical values).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the effect of dielectric losses on the bandwidth of microstrip patch antenna in stacked geometry and modelling

2020

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This paper presents a detailed analysis involving dielectric materials, by giving rigorous formulations including losses within nonmagnetic dielectric materials. The choice of these latter has shown a thorough attention in designing microstrip patch antenna (MPA), since they have significant correlation with the MPA performance. This study aims to analyze dielectric losses effect on MPA bandwidth in stacked patch geometry, including two rectangular patches etched on two layers, rather than single-layer geometry. The paper provides detailed formulations of rigorous analysis method, in which transfer matrices at boundaries are given regarding the studied case. Numerical results are presented and agreed with previous findings, where the dielectric losses show positive effect on both lower and upper bandwidths of the stacked patch geometry. The present study therefore provides additional evidence to the losses within low cost dielectric materials.

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Insulation condition diagnosis of oil-immersed paper insulation based on non-linear frequency-domain dielectric response

Cited by 49 publications

References 19 publications

Effect of Radial Moisture Distribution on Frequency Domain Dielectric Response of Oil-Polymer Insulation Bushing

Effect of Radial Moisture Distribution on Frequency Domain Dielectric Response of Oil-Polymer Insulation Bushing

Moisture Prediction of Transformer Oil-Immersed Polymer Insulation by Applying a Support Vector Machine Combined with a Genetic Algorithm

Analysis of the effect of dielectric losses on the bandwidth of microstrip patch antenna in stacked geometry and modelling

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