A comparison of Return voltage measurement and frequency domain spectroscopy test on high voltage insulation

Xu, Shen; Middleton, Richard H.; Fetherston, F.; Pantalone, D.

doi:10.1109/icpadm.2003.1218424

Cited by 11 publications

(6 citation statements)

References 6 publications

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“…At present, a lot of researchers mainly study the response characteristics of the return voltage using the test methods. Study results suggest that the dominant time constant can effectively diagnose transformer insulation condition [1][2][3][4] . However, seldom researches how to establish the mathematical model of equivalent circuit parameters estimated and estimate these parameters.…”

Section: Introductionmentioning

confidence: 95%

“…The key data taken from the return voltage measurement are the peak return voltage (U rmax ), the time (T peak ) to reach the peak return voltage and the initial slope of the curve (dU r /dt). With different charging time, a set of U r data can be obtained, and the response curve of return voltage can be acquired based on the data, it is known as polarization spectrum, which is used to estimate the equivalent moisture content in the insulation [1][2][3][4] .…”

Section: Return Voltage Measurement and Modelmentioning

confidence: 99%

“…Where, f i (x 1 ,x 2 ,…x n ) represents equation( 1), i=1,…n. Assuming equations has a unique solution in real space, solution of equations can be equivalent to the minimum of formula (2). It is difficult to solve the problem using nonlinear least square optimization method [2] .…”

Section: Parameters Identification Based On Ga 1 Fitness Functionmentioning

confidence: 99%

“…The changes of characteristic quantities can not be analyzed and calculated from the equivalent circuit model and its parameters change. Xu shuzhen discussed the calculation of the return voltage response in [2], preliminary. However, some of the parameters ware ignored in the process of solving a mathematical model.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Estimation of Dielectric Response Parameters of Transformers Using Hybrid Genetic Algorithm

Zhang

Lin

et al. 2012

AMR

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It is important to reveal the relationship between the characteristic quantity of return voltage and polarization characteristics of dielectric in theory. In recent years, some researchers have proposed some equivalent circuit models to study the relationship between the equivalent circuit and the characteristic quantity of return voltage. However, seldom shows how the mathematical model of equivalent circuit parameters estimated is established and these parameters are estimated. The initial slope of return voltage is of great significance to identify the parameters of equivalent circuit based on linear dielectric response theory. Therefore, this paper establishes a mathematical model with the data of initial slope of return voltage for estimating its parameter, and then, a hybrid genetic algorithm is used for solving the problem. The result shows that the model established is feasible and effective.

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Section: Introductionmentioning

confidence: 95%

Section: Return Voltage Measurement and Modelmentioning

confidence: 99%

Section: Parameters Identification Based On Ga 1 Fitness Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Estimation of Dielectric Response Parameters of Transformers Using Hybrid Genetic Algorithm

Zhang

Lin

et al. 2012

AMR

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“…Dielectric spectroscopy methods include the recovery voltage (RVM) method [12] [13] and polarization and depolarization current (PDC) method [14][15] [16] which are based on the time domain response. Frequency domain spectroscopy (FDS) method is based on the frequency domain response, which uses the polarization characteristic of dielectric under AC voltage to calculate the real permittivity, dissipation factor and the real capacitance as a function of frequency.…”

Section: Introductionmentioning

confidence: 99%

Research of Dielectric spectroscopy on insulation ageing assessment of XLPE cables

Liu

Wei

et al. 2013

2013 Annual Report Conference on Electrical Insulation and Dielectric Phenomena

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In this paper, the model cables are studied by means of frequency domain spectroscopy (FDS) which involves the measurement of capacitance, the real permittivity and dissipation factor as a function of frequency. Firstly, XLPE cable samples were carried out accelerated thermal ageing at 135 ć . Then ˈ frequency domain spectroscopy was investigated under laboratory condition, including different degree of thermal ageing and different test temperatures. Mechanism was analyzed using the theory of dielectric relaxation in solids. From the data and curves, it can be shown that the capacitance and dissipation factor are increased with the ageing timeˈand dissipation factor is increased with the decreasing of frequency in specific frequency range. Moreover, capacitance and real part of permittivity were found to be more sensitive to temperature variation, thus temperature is a key factor which must be taken account when using FDS method for diagnosing cable insulation. The investigation of dielectric spectroscopy is effective and convenient for ageing assessment of XLPE cables.

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Parameter estimation of dielectric response circuit using improved mathematical model

Zhang

Zuo

et al. 2015

2015 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD)

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Return voltage method can assess water content in transformer pressboard by dominant time constant. However, the data of return voltage method (RVM) takes for a long measuring time. The parameters of dielectric response based on extended Debye circuit model can reflect oil-paper insulation state. To shortcut measuring time, therefore, it is necessary to estimate equivalent circuit parameter and calculate return voltage characteristic quantity. This paper established improved mathematical model using return voltage peak, peak time and initial slope characteristics to solve dielectric response equivalent circuit parameters. And then improved bacteria foraging algorithm is used for solving the problem. The improved mathematical model can decrease sampling data of return voltage. The result shows that the dominant time constant calculated and measured return voltage curve have good consistency, which can accurately diagnose the transformer oilpaper insulation status. It illustrates that the improved method proposed in this paper is feasible and effective.

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A comparison of Return voltage measurement and frequency domain spectroscopy test on high voltage insulation

Cited by 11 publications

References 6 publications

Estimation of Dielectric Response Parameters of Transformers Using Hybrid Genetic Algorithm

Estimation of Dielectric Response Parameters of Transformers Using Hybrid Genetic Algorithm

Research of Dielectric spectroscopy on insulation ageing assessment of XLPE cables

Parameter estimation of dielectric response circuit using improved mathematical model

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