摘要
针对高速磁浮列车牵引供电系统结构及运行规则特殊性导致再生制动能量无法主动利用、能量回馈方式对局域网电压影响大的问题,在对高速磁浮列车牵引供电系统结构和能量流动机理进行分析的基础上,给出基于地面式超级电容储能的高速磁浮列车再生制动能量回收利用系统拓扑结构;考虑高速磁浮列车再生制动能量回收系统容量配置小、超级电容工作电压变化明显的特性,以高效回收再生制动能量为目标,将储能系统实时的可运行最大功率作为约束功率,制定相应的能量管理策略,实现系统不同工况下的能量管理,并通过分层控制策略实现整个再生制动能量利用系统的高效运行。通过仿真验证所提再生制动能量回收利用系统及控制策略的有效性,结果表明:所提方案可使高速磁浮列车牵引能耗降低21.83%;与储能系统采用固定功率约束的功率分配方式相比,再生制动能量利用率提高了11.9%。
In response to the unique characteristics of the structure and operational rules of the traction power supply system of high-speed maglev trains,which result in the inability to actively utilize regenerative braking energy and a significant impact of energy feedback methods on local area network voltage,based on the analysis of the structure and energy flow mechanism of high-speed maglev train traction power sup⁃ply system,the topology structure for a high-speed maglev train regenerative braking energy recovery and utilization system using ground-based supercapacitor energy storage is given.Considering the characteristics of regenerative braking energy recovery system of high-speed maglev train,such as small capacity configura⁃tion and noticeable variation of working voltage of supercapacitor,aiming at efficient recovery of regenerative braking energy,taking the real-time maximum operable power of the energy storage system as the constraint power,the corresponding energy management strategies are developed,so as to achieve energy management under various system conditions.The efficient operation of the entire regenerative braking energy utilization system is realized through a layered control strategy.The effectiveness of the proposed regenerative braking energy recovery and utilization system and control strategy is verified through simulation.The results indi⁃cate that the proposed solution can reduce the traction energy consumption of high-speed maglev trains by 21.83%.Furthermore,compared to the power allocation method with a fixed power constraint used in energy storage system,the regenerative braking energy utilization rate is increased by 11.9%.
作者
李若琼
郑鑫波
李欣
LI Ruoqiong;ZHENG Xinbo;LI Xin(School of Automation and Electrical Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China;School of New Energy and Power Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2024年第10期179-185,共7页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(51767015)
甘肃省自然科学基金重点项目(22JR5RA317)
甘肃省高等学校产业支撑计划项目(2023CYZC⁃39)
2024年度甘肃省联合科研基金资助项目(G1405).
关键词
高速磁浮列车
实时最大功率约束
再生制动能量
超级电容储能
能量管理
high-speed maglev train
real-time maximum power constraint
regenerative braking energy
super capacitor energy storage
energy management
