DocumentCode
2087761
Title
Probability Distribution of Feeder Current of Electrified Railway Traction
Author
Tang, Kai-lin ; Li, Qun-zhan ; Zhang, Li-yan
Author_Institution
Sch. of Electr. Eng., Southwest Jiao Tong Univ., Chengdu, China
fYear
2010
fDate
28-31 March 2010
Firstpage
1
Lastpage
4
Abstract
Electrified railway traction loads were affected by many factors, so traction feeder currents has the characteristic of random time-varying. This paper analyzes distribution characteristic of traction feeder currents based on a great deal of measured data. Lognormal distribution function was used to fit the probability density of the feeders. Error analysis shows that this method is feasible. Samples of feeder current is obtained by using Monte Carlo method, whicth is helpful for the analysis of power quality of new routes.
Keywords
Monte Carlo methods; error analysis; log normal distribution; railway electrification; traction; Monte Carlo method; electrified railway traction loads; error analysis; lognormal distribution function; power quality; probability distribution; traction feeder currents; Current measurement; Curve fitting; Histograms; Power quality; Probability density function; Probability distribution; Rail transportation; Railway electrification; Random processes; Substations;
fLanguage
English
Publisher
ieee
Conference_Titel
Power and Energy Engineering Conference (APPEEC), 2010 Asia-Pacific
Conference_Location
Chengdu
Print_ISBN
978-1-4244-4812-8
Electronic_ISBN
978-1-4244-4813-5
Type
conf
DOI
10.1109/APPEEC.2010.5448217
Filename
5448217
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