A Parameterization Approach for the Dielectric Response Model of Oil Paper Insulation Using FDS Measurements

Feng, Yang; Du, Lan; Yang, Lijun; Wei, Chao; Wang, Youyuan; Ran, Liman; He, Peng

doi:10.3390/en11030622

Cited by 25 publications

(34 citation statements)

References 38 publications

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“…According to the type of the fitted function it can be categorized as a linear and non-linear optimization task. The literature contains a lot of different methods to solve this problem with the required accuracy [15][16][17][18][19][20][21][22][23][24][25][26]. Most of these measurements use the gradient-based solvers, the Gauss-Newton Algorithm or the Levenberg-Marquardt Algorithm, which use the fact that these problems can be expressed by the rules of the Quadratic Programming (QP) [27,28].…”

Section: Nonlinear Curve Fitting With āRtapmentioning

confidence: 99%

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Parameterization of Debye Model for Dielectrics Using Voltage Response Measurements and a Benchmark Problem

Mustafa

Németh

Afia

et al. 2021

Period. Polytech. Elec. Eng. Comp. Sci.

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The Voltage Response measurement since its introduction in the 1960s has been used successfully for the diagnostics of electrical insulation. The method is based on two quantities of decay and return voltage slopes and can be used to study the conduction and polarization processes inside the insulation. Extended Voltage Response method, being an advanced version of the Voltage Response measurement helps in further studying the polarization process by using a large polarization spectrum and hence dielectric relaxation processes. These dielectric relaxation processes can be modeled by the Debye model. Since as most of the techniques used for diagnostic purpose does not give the information about the conduction and polarization processes separately, it is difficult to determine the R-C parameters of the Debye model. The Voltage Response technique is very useful in this regard because of the two voltage slopes. The paper shows a novel experimental benchmark for testing the function fitting methodologies of the Voltage Response methodologies, which helps in determining the R-C parameters. Moreover, the problem can be used for testing the novel genetic, evolutionary algorithms, where benchmarking is an actual challenge. The proposed nonlinear function fitting method uses the genetic algorithms via the Ārtap framework, which lets it possible to select the most accurate optimization algorithm from the provided list of the algorithms and achieve better fitting precision, faster calculation time or more powerful processing ability.

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Section: Nonlinear Curve Fitting With āRtapmentioning

confidence: 99%

“…The Quadratic Programming based methodology provides better results because it uses a Newton solver or a Levenberg-Marquardt based solver to find the exact function parameters. The solution of the NSGA-II based methodology can be improved similarly if a Newton-solver started from the found parameters and then they are refined similarly [23].…”

Section: Parametermentioning

confidence: 99%

Parameterization of Debye Model for Dielectrics Using Voltage Response Measurements and a Benchmark Problem

Mustafa

Németh

Afia

et al. 2021

Period. Polytech. Elec. Eng. Comp. Sci.

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“…Since the present study mainly focuses on analyzing the obtained model parameters for seeking their correlations to the insulation condition, the calculation process is only briefly stated as above. More details in this point are available in the previous paper published by the authors [24].…”

Section: B Parameterization Of the Extended Debye Modelmentioning

confidence: 99%

A Circuital Model-Based Analysis of Moisture Content in Oil-Impregnated-Paper Insulation Using Frequency Domain Spectroscopy

Feng

2020

IEEE Access

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The explicitly numerical or well-defined correlations between the dielectrics responses (DRs) and dielectric essences of oil-impregnated paper (OIP) insulation have not been fully understood yet. As a result, it is rather difficult to quantitatively diagnose the critical insulation condition, like determining moisture content in insulation paper (MCP) of power equipment only using electrical-based techniques such as frequency domain spectroscopy (FDS). To obtain MCP value, from a new perspective of parametric study on the circuital DR equivalence of OIP insulation-extended Debye model (EDM), the present contribution introduces a novel approach by exploring the pattern when EDM parameters vary with MCP and temperatures T . Further, mathematical correlations are developed between sensitive R-C values and MCP-T values. On the above analysis, small-scale physical models of real-life transformer bushings were prepared as test samples. Their OIP condenser bodies were artificially absorbed different controlled quantities of moisture and conditioned at different temperatures to record corresponding FDS results. Then a hybrid genetic algorithm combined with the Levenberg-Marquardt algorithm was proposed to estimate the EDM parameters by fitting the measured FDS data. Sensitive parameters therein were identified using subspectrum decomposition and formulated with MCP-T values so that a reliable moisture content estimation can be achieved once the testing temperature and FDS recordings of an insulation body are known.INDEX TERMS Oil-impregnated-paper insulation, moisture, extended Debye model, frequency domain spectroscopy.

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“…A simplified HV bushing structure [21][22][23], as shown in Figure 2a, was set up. This structure consisted of three layers from the outside to the inside.…”

Section: Specimenmentioning

confidence: 99%

The Effect of a Vertical Electric Field on the Surface Flashover Characteristics of a Bushing Model

et al. 2018

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High-voltage bushings play a crucial role in energy conveyance. Their specialized electric structure makes the bushing more vulnerable to surface discharge. However, the influence of a vertical electric field on the surface flashover of bushing structures remains unclear. To investigate this mechanism, four simplified bushing samples were built and the influence of pollution, leakage length, and the electric field component vertical to the dielectric surface on flashover properties of the bushing samples were tested. It was found that the surface pollution level was the decisive factor that influenced flashover voltage. When the leakage length and form factor were the same, the pollution flashover of the bushing structure was lower than that of the post structure. It was also found that increasing the leakage length was not very effective in improving the flashover voltage of bushings when the equivalent salt deposit density (ESDD) was high. No obvious correlation was found between pollution flashover voltage and electric field stress. Furthermore, the uneven wetting flashover performance of the bushings was tested. Under this condition, the flashover voltage decreased with an increase of the electric field component vertical to the dielectric surface. In addition, the electric field distribution of the samples was calculated and the results were in accordance with the experimental results.

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A Parameterization Approach for the Dielectric Response Model of Oil Paper Insulation Using FDS Measurements

Cited by 25 publications

References 38 publications

Parameterization of Debye Model for Dielectrics Using Voltage Response Measurements and a Benchmark Problem

Parameterization of Debye Model for Dielectrics Using Voltage Response Measurements and a Benchmark Problem

A Circuital Model-Based Analysis of Moisture Content in Oil-Impregnated-Paper Insulation Using Frequency Domain Spectroscopy

The Effect of a Vertical Electric Field on the Surface Flashover Characteristics of a Bushing Model

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