摘要
电气化铁道牵引负荷受众多因素影响,使牵引网馈线电流具有随机波动性。为了探寻馈线电流的概率分布规律,给将来新建线路电能质量预测提供帮助,文中基于大量实测馈线电流数据,对馈线电流分布特征进行了分析,采用对数正态分布函数对馈线电流分布概率密度进行曲线拟合,再通过蒙特卡洛法,获得馈线电流样本。最后进行误差分析,分析的结果表明,用对数正态分布函数拟合牵引网馈线电流的概率密度函数是有效的、可行的。
Electrified railway traction loads are affected by many factors,so traction feeder currents have random time-varying characteristic.In order to explore the probability distribution of feeder currents and offer help for the analysis of power quality of new routes.This paper analyzes distribution characteristic of traction feeder currents based on a great deal of measured data.Lognormal distribution function is used to fit the probability density of the feeders,then samples of feeder current are obtained by using Monte Carlo method.Error analysis shows that this method is feasible.
出处
《电力系统及其自动化学报》
CSCD
北大核心
2010年第6期12-16,共5页
Proceedings of the CSU-EPSA
基金
"十一五"国家科技支撑计划重点项目(2007BAA12B05)
关键词
牵引负荷
馈线电流
对数正态分布
蒙特卡罗法
概率密度
traction load
feeder current
lognormal distribution
Monte Carlo method
probability density
