基于大数据分析的电气化铁路牵引供变电系统设计

Design of traction power supply and transformation system for electrified railway based on big data analysis

针对多导线设计的供变电系统牵引网网损高的问题,提出了基于大数据分析的电气化铁路牵引供变电系统设计。采用板级设计方式,配置系统硬件。使用8031的8位单片机通过一个反相器控制数据输出速度,选取三相500 kV或220 kV电网取电,将电能转换成为牵引力。设置同相补偿装置,设计中心变电所结构。根据主机系统软件功能,采用基于大数据分析的粒子群优化算法设计牵引供电方案,降低牵引网网损。由实验结果可知,该系统容量分布更加均匀,有效提高连接点电能质量。

Aiming at the problem of high loss in traction network of multi conductor power supply and transformation system,the design of traction power supply and transformation system for electrified railway based on big data analysis is proposed.Board level design is adopted to configure the system hardware.The 80318⁃bit single⁃chip microcomputer is used to control the data output speed through a inverter.The three⁃phase 500 kV or 220 kV power grid is selected to take power,and the electric energy is converted into traction force.The in⁃phase compensation device is set and the structure of the central substation is designed.According to the software function of the host system,the particle swarm optimization algorithm based on big data analysis is used to design the traction power supply scheme to reduce the network loss of the traction network.The experimental results show that the system capacity distribution is more uniform,and the power quality of the connection point is effectively improved.