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Implementation and Validation of a Corona Effect Model in ATPDraw

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 kV-26 kV, 19.5°C 25°C, 32%-72% humidity) with simulated waveforms, analyzing key parameters such as RMS current (IRMS) and peak current (Ip). Results demonstrate agreement within 6%-15% error margins under standard conditions, though discrepancies rise to 31% under precipitation due to unmodeled nonlinear effects.

Original languageEnglish
Title of host publicationProceedings - 2025 IEEE 7th Global Power, Energy and Communication Conference, GPECOM 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages199-203
Number of pages5
ISBN (Electronic)9798331513238
ISBN (Print)9798331513238
DOIs
StatePublished - 2025
Event7th IEEE Global Power, Energy and Communication Conference, GPECOM 2025 - Bochum, Germany
Duration: 11 Jun 202513 Jun 2025

Publication series

NameProceedings - 2025 IEEE 7th Global Power, Energy and Communication Conference, GPECOM 2025

Conference

Conference7th IEEE Global Power, Energy and Communication Conference, GPECOM 2025
Country/TerritoryGermany
CityBochum
Period11/06/2513/06/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • ATPDraw
  • Corona effect
  • Environmental variables
  • High-voltage systems
  • Transient simulation

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