Genetic Algorithm Application to Corona Inception Voltage Estimation of Various Gas Mixtures

Onal E.

2nd International Power and Energy Conference (PECon 2008), Johor-Bahru, Malaysia, 1 - 03 December 2008, pp.1504-1508 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/pecon.2008.4762718
  • City: Johor-Bahru
  • Country: Malaysia
  • Page Numbers: pp.1504-1508
  • Istanbul Technical University Affiliated: No


In this paper, AC corona inception voltages of mixtures of N(2)-SF(6), CO(2)-SF(6) and Air-SF(6) in non-uniform field are studied. The relative gas pressure and the electrode gap spacing are varied within the range of 100-500 kPa and 5-25 mm respectively. The results are first measured experimentally and then estimated by means of genetic algorithm. The comparison of measured and computed values show that there is a good agreement between two values. The corona inception voltages of the mixtures can be found correctly by the genetic algorithm. Therefore, genetic algorithm can be considered an alternative tool to estimate the inception voltages.