DocumentCode :
44680
Title :
Modeling Study of the Secondary Arc With Stochastic Initial Positions Caused by the Primary Arc
Author :
Haoxi Cong ; Qingmin Li ; Jinyuan Xing ; Siew, W.H.
Author_Institution :
Sch. of Electr. Eng., Shandong Univ., Jinan, China
Volume :
43
Issue :
6
fYear :
2015
fDate :
Jun-15
Firstpage :
2046
Lastpage :
2053
Abstract :
In the conversion process from primary arc to secondary arc, there exists a stochasticness phenomenon of the initial positions of secondary arc. However, the present simulation results of the arcing time with the arc chain model are constant, which is not consistent with the test results. In reaction to the above phenomenon, the stochastic simulation model was first established to calculate the relationship between the conductivity of the air and the temperature. Furthermore, the conductivity along the radius direction of the primary arc was acquired, and then the stochastic initial length of the secondary arc with different primary current was also obtained. The results showed that with the increase in primary current, the average value and dispersion of the initial secondary arc length also increased. Finally, the stochastic model of secondary arc with different initial positions was applied into the arc chain model to calculate the arcing time with dispersion, and the simulation results were compared with the experimental results. The results showed that the simulation results of the arcing time are consistent with the test results and the relative errors are within 10%, which shows that the stochastic model is effective and reliable.
Keywords :
air; arcs (electric); plasma simulation; stochastic processes; air conductivity; arc chain model; dispersion; primary arc-secondary arc conversion process; stochastic initial length; stochastic initial positions; stochastic simulation model; temperature conductivity; Atmospheric modeling; Cathodes; Conductivity; Dispersion; Plasma temperature; Shape; Stochastic processes; Arcing time; initial position; primary arc; secondary arc; stochastic model; stochastic model.;
fLanguage :
English
Journal_Title :
Plasma Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-3813
Type :
jour
DOI :
10.1109/TPS.2015.2422777
Filename :
7095605
Link To Document :
بازگشت