Probabilistic model for mv spark-gap characteristics with lightning induced overvoltage superimposed on ac voltage

Nehmdoh A. Sabiha, Matti Lehtonen, Naser G. Tarhuni, Petri Hyvönen

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

In this paper, the breakdown probability of MV spark-gaps is modeled using the Gaussian distribution function under an impulse voltage test in accordance with the IEC 60060-1 standard. The model is presented in the form of the well-known Gaussian tail probability. Accordingly, a modified probabilistic model is introduced to study the effect of impulse voltage superimposed on the ac voltage on the breakdown probability of MV spark-gaps. The modified model is verified using experimental data, where the experimental setup is arranged to generate a range of impulse voltages superimposed on the ac voltages. The results show evidence of the efficacy of the proposed probabilistic model. Furthermore, the proposed model is used to evaluate single-phase, two-phase and three-phase spark-gap breakdown probabilities in the case of lightning induced overvoltages. Finally, these breakdown probabilities are used along with the simplified Rusck expression to evaluate the performance of MV overhead lines above a perfectly conducting ground under lightning-induced voltages using a statistical approach.

Original languageEnglish
Article number5293954
Pages (from-to)1404-1412
Number of pages9
JournalIEEE Transactions on Dielectrics and Electrical Insulation
Volume16
Issue number5
DOIs
Publication statusPublished - Oct 2009

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Keywords

  • Distribution function
  • Lightning induced overvoltage
  • Spark-gap breakdown probability
  • Statistical approach

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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