摘要
城市轨道交通车辆再生制动能量的有效吸收利用是牵引供电技术发展的一个重要课题。本文提出了一种新型城轨供电双线圈接入式中压能馈系统,逆变回馈装置从整流变压器1 180 V侧双线圈接入供电系统,制动能量通过整流变压器回馈到35 k V中压电网,从而实现节能效果。本文主要从能馈型再生制动装置方案设计出发,着重介绍了系统的数学模型、控制策略及控制逻辑等内容。为验证方案可靠有效,利用Matlab/Simulink仿真平台搭建仿真模型,重点对共用整流变压器方案时1.8 MW间歇循环峰值时直流母线电压波形,整流支路电流波形,能馈系统回馈效率,交流侧AC 35 k V相电压、相电流、功率因数及谐波这几个方面进行分析。仿真结果表明:该方案能可靠稳定的实现能量回馈功能,能馈过程中各性能指标良好,对整流机组的正常运行没有影响。
The effective absorption & utilization of regenerative energy of vehicles for urban rail transit is an important subject for development of traction power supply technologies. The paper puts forward a new mode of medium voltage energy feedback system connected with double coil, the inverse feedback device is connected to the power supply system from the double coil at 1 180 V side of rectifying transformer, the braking energy is fed back to 35kV medium voltage network via rectifying transformer to realize energy saving. The paper introduces in details the contents of mathematical models, control strategies and control logics of the system by starting from the scheme design for energy feedback type regenerative braking device. In order to verify the reliability and effectiveness of the scheme, Matlab/Simulink is adopted to set the simulation model to analyze with emphasis in several aspects of voltage waveform of DC bus bar, current waveform of rectifying branch circuit and feedback efficiency of the feedback system as well as the AC side AC 35kV phase voltage, phase current, power factor and harmonics when the scheme of shared rectifying transformer is adopted with the intermittent cyclic peak value of 1.8 MW. The simulation results indicate that the scheme is able to realize the energy feedback function reliably and stably, performance parameters are satisfactory during energy feedback without influences to normal operation of the rectifier sets.
出处
《电气化铁道》
2017年第3期1-9,共9页
Electric Railway
关键词
城市轨道交通
双线圈接入
中压能馈再生制动
逆变
回馈
双闭环控制
仿真建模
Urban rail transit
double coil connected
medium voltage energy feedback regenerative braking
inversion
feedback
double closed loop control
simulation and modeling