TY - GEN
T1 - Genetic algorithm application to corona inception voltage estimation of various gas mixtures
AU - Onal, E.
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - Corona inception voltage
KW - Genetic algorithm
KW - Non-uniform field
UR - https://www.scopus.com/pages/publications/63049106262
U2 - 10.1109/PECON.2008.4762718
DO - 10.1109/PECON.2008.4762718
M3 - Conference contribution
AN - SCOPUS:63049106262
SN - 9781424424054
T3 - PECon 2008 - 2008 IEEE 2nd International Power and Energy Conference
SP - 1504
EP - 1508
BT - PECon 2008 - 2008 IEEE 2nd International Power and Energy Conference
T2 - 2008 IEEE 2nd International Power and Energy Conference, PECon 2008
Y2 - 1 December 2008 through 3 December 2008
ER -