Implementation and Validation of a Corona Effect Model in ATPDraw

This work presents the implementation and validation of a corona effect model for high-voltage conductors using ATPDraw software. The model incorporates sinusoidal and impulsive components, accounting for environmental variables such as temperature and relative humidity. The implementation leverages the Alternative Transients Program (ATP) with nonlinear resistances (Type 92) and controlled sources (TACs), enabling dynamic simulation of corona discharges. Validation was performed by comparing experimental results obtained in a high voltage laboratory under varying conditions ($21 \mathrm{kV}-26 \mathrm{kV}, 19.5^{\circ} \mathrm{C} 25^{\circ} \mathrm{C}, 32 \%-72 \%$ humidity) with simulated waveforms, analyzing key parameters such as RMS current ($I_{\text {RMS }}$) and peak current ($I_{p}$). Results demonstrate agreement within $6 \%-15 \%$ error margins under standard conditions, though discrepancies rise to 31% under precipitation due to unmodeled nonlinear effects.

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Published
2025-06-11
DOI
https://doi.org/10.1109/gpecom65896.2025.11061876
Primary Topic
Power Transformer Diagnostics and Insulation
Type
article
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article

Implementation and Validation of a Corona Effect Model in ATPDraw

Flavio Quizhpi Palomeque, Mikel Cuesta, S. Gallardo, Alexis Labanda García
Power Transformer Diagnostics and Insulation
article

Implementation and Validation of a Corona Effect Model in ATPDraw

Flavio Quizhpi Palomeque, Mikel Cuesta, S. Gallardo, Alexis Labanda García
article en

Abstract

This work presents the implementation and validation of a corona effect model for high-voltage conductors using ATPDraw software. The model incorporates sinusoidal and impulsive components, accounting for environmental variables such as temperature and relative humidity. The implementation leverages the Alternative Transients Program (ATP) with nonlinear resistances (Type 92) and controlled sources (TACs), enabling dynamic simulation of corona discharges. Validation was performed by comparing experimental results obtained in a high voltage laboratory under varying conditions ($21 \mathrm{kV}-26 \mathrm{kV}, 19.5^{\circ} \mathrm{C} 25^{\circ} \mathrm{C}, 32 \%-72 \%$ humidity) with simulated waveforms, analyzing key parameters such as RMS current ($I_{\text {RMS }}$) and peak current ($I_{p}$). Results demonstrate agreement within $6 \%-15 \%$ error margins under standard conditions, though discrepancies rise to 31% under precipitation due to unmodeled nonlinear effects.

Politecnica Salesiana University (EC)
Openalex Percentile: Top 85%
Power Transformer Diagnostics and Insulation
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