Title :
Genetic algorithm application to corona inception voltage estimation of various gas mixtures
Author_Institution :
Fac. of Electr. & Electron., Istanbul Tech. Univ., Maslak
Abstract :
In this paper, AC corona inception voltages of mixtures of N2-SF6, CO2-SF6 and Air-SF6 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.
Keywords :
carbon compounds; corona; gas mixtures; genetic algorithms; sulphur compounds; AC corona inception voltage estimation; CO2-SF6; N2-SF6; electrode gap spacing; genetic algorithm application; relative gas pressure; various gas mixtures; Breakdown voltage; Corona; Dielectrics and electrical insulation; Electric breakdown; Electrodes; Equations; Gas insulation; Genetic algorithms; Ionization; Sulfur hexafluoride; Corona Inception Voltage; Genetic Algorithm; Non-uniform Field;
Conference_Titel :
Power and Energy Conference, 2008. PECon 2008. IEEE 2nd International
Conference_Location :
Johor Bahru
Print_ISBN :
978-1-4244-2404-7
Electronic_ISBN :
978-1-4244-2405-4
DOI :
10.1109/PECON.2008.4762718
