An Approximate Mathematical Expression for Nonlinear Resistive Properties of Metal Oxide Varistor Elements for FDTD Simulations

Tanaka, Tokuya; Tsuge, R.; Baba, Yoshihiro; Tsujimoto, Yoshimasa; Tsukamoto, Naoyuki

doi:10.1109/temc.2020.2983200

Cited by 14 publications

(7 citation statements)

References 8 publications

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“…Tanaka et al. [18] proposed a mathematical fitting Equation () to connect the ρ – E characteristics of the blue and green region with a curve.

ρ = 10^{c_{0} + c_{1} \cdot {(\log E)}^{c_{2}}}

ρ = R \cdot \frac{S}{d}

E = \frac{V}{d}

where ρ is the resistivity, c 0 , c 1 , c 2 are the fitting parameters, d is the thickness and S is the surface area.…”

Section: Modeling Methodsmentioning

confidence: 99%

“…Because the discharge voltage of impulse current generator is usually not low enough to the yellow area, it is difficult to obtain small impulse current and the clamping voltage. Tanaka et al [18] proposed a mathematical fitting Equation ( 5) to connect the ρ-E characteristics of the blue and green region with a curve.…”

Section: Resistance-voltage Relationship In the Leakage And Temporary...mentioning

confidence: 99%

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Numerical modelling of MOV with Voronoi network and finite element method

et al. 2021

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The electrical and thermal characteristics of metal oxide varistor (MOV) are essential for the study of MOV performance and degradation. This paper provides a modelling method of MOV to simulate its microstructure geometry with the Voronoi network and derive the electrical functions on the grain boundaries. A series of discrete data to describe the resistance‐voltage (R–V) characteristics of MOV from experiments is applied to the proposed model. Through 8/20 μs surge current experiments, the electrical conductivity of MOV is determined to achieve the simulation of the clamping voltage. With this model, the current distribution and temperature distribution over a MOV sample are simulated and analysed by the finite element method (FEM). The simulation results show good agreement with the experimental measurement and inherent feature of MOV.

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“…Tanaka et al. [18] proposed a mathematical fitting Equation () to connect the ρ – E characteristics of the blue and green region with a curve.

ρ = 10^{c_{0} + c_{1} \cdot {(\log E)}^{c_{2}}}

ρ = R \cdot \frac{S}{d}

E = \frac{V}{d}

where ρ is the resistivity, c 0 , c 1 , c 2 are the fitting parameters, d is the thickness and S is the surface area.…”

Section: Modeling Methodsmentioning

confidence: 99%

Section: Resistance-voltage Relationship In the Leakage And Temporary...mentioning

confidence: 99%

Numerical modelling of MOV with Voronoi network and finite element method

et al. 2021

View full text Add to dashboard Cite

show abstract

“…However, due to the limitation of experimental equipment, the V-I characteristics of MOV in the breakdown region are difficult to be obtained completely by measurement. According to the expression proposed in [17], the V-I characteristics of MOV in the breakdown region are obtained by fitting the data measured in pre-breakdown region and high current region.…”

Section: Boundary Conditionsmentioning

confidence: 99%

Research on electrothermal characteristics of metal oxide varistor based on multi‐physical fields

Zhou

Huang

Cao

et al. 2022

IET Generation Trans & Dist

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The electrothermal characteristics of metal oxide varistor (MOV), closely related to its microstructure, are important for studying its failure mechanism. This paper proposes an improved MOV microstructure model based on the Voronoi network for simulating the electrothermal behaviour of MOV. With the proposed model, not only the simulation accuracy under constant electrical stress can be improved, but also the simulation of MOV under time-dependent electrical stress (a.c. or impulse) can be realized. The simulation results are in good agreement with the experimental data. In addition, according to the electrothermal characteristics of MOV microstructure and the failure phenomenon of MOV in the experiments, the failure mechanism of MOV under different electrical stresses is analysed and discussed. It is found that the serious local heating caused by current concentration and thermal stress caused by huge temperature gradient are the main reasons for the MOV failure. This paper provides an effective method for the study of MOV electrothermal characteristics and theoretical reference for the performance improvement of MOV.

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“…Figure 1 shows the resistivity versus electric field (ρ-E ) characteristic based on the measured voltage versus current (V-I ) characteristic of a ZnO element, which has a thickness of 37 mm and a diameter of 34 mm. The ρ-E characteristic derived from the measured V-I characteristic is approximated as follows [6]:…”

Section: Expression Of Zno Resistivity Of An Fdtd Cellmentioning

confidence: 99%

Electromagnetic and Thermal Analysis of a ZnO Element of Transmission‐Line Arrester for a Lightning Surge Current

Saito

Tanaka

Tosa

et al. 2021

IEEJ Transactions Elec Engng

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The voltage generated across a zinc-oxide (ZnO) element, in which a lightning impulse current flows, has been computed with the finite-difference time-domain (FDTD) method. Also, the distribution of temperature in the ZnO element has been computed on the basis of FDTD-computed conduction current densities with a discretized heat equation. The ZnO element having a thickness of 37 mm and a diameter of 34 mm is represented with many 1 mm × 1 mm × 1 mm cubic cells, each of which has a nonlinear resistivity in each of the x , y, and z directions dependent on the electric field in each direction and the temperature in each cell. Waveforms of voltage appearing across the ZnO element and the temperature on the side surface of the ZnO element computed for a short lightning impulse current having a magnitude of 66 kA agree reasonably well with the corresponding measured ones.

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An Approximate Mathematical Expression for Nonlinear Resistive Properties of Metal Oxide Varistor Elements for FDTD Simulations

Cited by 14 publications

References 8 publications

Numerical modelling of MOV with Voronoi network and finite element method

Numerical modelling of MOV with Voronoi network and finite element method

Research on electrothermal characteristics of metal oxide varistor based on multi‐physical fields

Electromagnetic and Thermal Analysis of a ZnO Element of Transmission‐Line Arrester for a Lightning Surge Current

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