Numerical Calculation Model for Obtaining Parameters of Insulation Materials in HVDC-GIL Subjected to Transition Field

In this paper, we compare the differences in the charge accumulation for two different models about conductivity: one in which the conductivity value of the spacer is invariant with time (steady-state conductivity, Model I) and one in which the conductivity value can vary dynamically with time (dynamic conductivity, Model II). The time for the potential distribution to reach a stable state is 8078 s in Model I and 7932 s in Model II. After the charge accumulation reaches saturation, the charges migrate to the middle of the spacer under the applied electric field. Maximum tangential field strength is <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">${2.56} \times {10}^{6}\ \mathrm{V}/\mathrm{m}$</tex> in Model I and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">${2.84} \times {5}\ \mathrm{C}/\mathrm{m}^{3}$</tex>, which is much smaller than the charge density in the spacer. The mechanism underlying the charge accumulation phenomenon is the differences in the conductivity value distribution caused by a time-varying temperature gradient field. This paper can provide a more precise theoretical basis for the selection and modification of HVDC-GIL spacer.

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Publication Details

Journal
CSEE Journal of Power and Energy Systems
Published
2025-01-01
DOI
https://doi.org/10.17775/cseejpes.2021.03640
Primary Topic
Thermal Analysis in Power Transmission
Type
article
Field-Weighted Citation Impact
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article

Numerical Calculation Model for Obtaining Parameters of Insulation Materials in HVDC-GIL Subjected to Transition Field

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CSEE Journal of Power and Energy Systems
Thermal Analysis in Power Transmission
article

Numerical Calculation Model for Obtaining Parameters of Insulation Materials in HVDC-GIL Subjected to Transition Field

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Abstract

In this paper, we compare the differences in the charge accumulation for two different models about conductivity: one in which the conductivity value of the spacer is invariant with time (steady-state conductivity, Model I) and one in which the conductivity value can vary dynamically with time (dynamic conductivity, Model II). The time for the potential distribution to reach a stable state is 8078 s in Model I and 7932 s in Model II. After the charge accumulation reaches saturation, the charges migrate to the middle of the spacer under the applied electric field. Maximum tangential field strength is <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">${2.56} \times {10}^{6}\ \mathrm{V}/\mathrm{m}$</tex> in Model I and <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">${2.84} \times {5}\ \mathrm{C}/\mathrm{m}^{3}$</tex>, which is much smaller than the charge density in the spacer. The mechanism underlying the charge accumulation phenomenon is the differences in the conductivity value distribution caused by a time-varying temperature gradient field. This paper can provide a more precise theoretical basis for the selection and modification of HVDC-GIL spacer.

CSEE Journal of Power and Energy Systems
China Academy of Space Technology (CN), Xi'an University of Technology (CN)
Openalex Percentile: Top 85%
Thermal Analysis in Power Transmission
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