摘要
基于随机过程理论,采用数值分析方法,通过对大量实测数据的统计分析,用β-函数拟合牵引变电所馈线电流的概率密度.采用蒙特卡罗法,获得了牵引变电所馈线电流的子样,为牵引变电所馈线电流的过程分析提供了大量信息.牵引变电所馈线电流的仿真结果与实测数据的比较表明,二者的统计规律基本相同,说明所采用的方法是有效的.
Based on the theory of stochastic process and the method of numerical analysis, probability density function for the feeder current of traction substations was fitted by using the β-function and the statistical analysis of extensive recorded data of the feeder current. Feeder current samples were obtained by using the Monte Carlo method to supply more detailed information for the procedure analysis of the feeder current. A comparison between the simulation results and recorded data of the feeder current shows the same statistical regularity to verify the effectiveness of the adopted approach.
出处
《西南交通大学学报》
EI
CSCD
北大核心
2009年第6期848-854,共7页
Journal of Southwest Jiaotong University
基金
国家电网公司科学技术项目(SGKJ[2007]102)
国家科技支撑计划项目:电气化铁路同相供电装置(2007BAA12B05)
西南交通大学科学基金的资助(2007A12)
关键词
牵引变电所
馈线电流
蒙特卡罗法
β-函数
概率密度
traction substation
feeder current
Monte Carlo method
β-function
probability density
