Improved Control Strategy of Energy Storage System Considering Train Operation States

被引:0
作者
Yang, Zhihong [1 ]
Yang, Zhongping [1 ]
Lin, Fei [1 ]
Xia, Huan [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect Engn, Beijing, Peoples R China
来源
2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) | 2017年
关键词
energy storage system; regenerative braking energy; optimization; control strategy; OPTIMIZATION; VEHICLES; POWER;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The regenerative braking energy utilization is a hot topic in energy saving optimization of train operation. When regenerative energy isn't absorbed by other trains, there are three types for using it, the wayside energy storage system are one of the types. This paper mainly focuses on the efficient usage of regenerative energy to optimal the control strategy of energy storage system. Meanwhile, based on the operation conditions of online running trains were known and analyzed, the energy flow between brake resistors and energy storage systems is considered. The proposed control strategy dynamically adjusts the charging threshold voltage via the train real-time power and position data. Through adjusting the charging power of the energy storage system, the energy storage device works in the optimal state, and can achieve the maximum usage of the energy storage system capacity. Then simulation in the simple traction power supply system of an actual data with Beijing Batong subway line was analyzed to verify the correctness and validity of the methods.
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页数:6
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