Energy-saving operation approaches for urban rail transit systems

doi:10.1007/s42524-019-0030-7

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Abstract：

With the accelerated urbanization in China, passenger demand has dramatically increased in large cities, and traffic congestion has become serious in recent years. Developing public urban rail transit systems is an indispensable approach to overcome these problems. However, the high energy consumption of daily operations is an emerging issue due to increased rail transit networks and passenger demands. Thus, reducing the energy consumption and operational cost by using advanced optimization methodologies is an urgent task for operation managers. This work systematically introduces energy-saving approaches for urban rail transit systems in three aspects, namely, train speed profile optimization, utilization of regenerative energy, and integrated optimization of train timetable and speed profile. Future research directions in this field are also proposed to meet increasing passenger demands and network-based urban rail transit systems.

Keywords urban rail transit energy saving speed profile optimization regenerative energy train timetable

最新录用日期: 在线预览日期: 发布日期: 2019-05-17

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	Ziyou GAO
	Lixing YANG

引用本文:

Ziyou GAO,Lixing YANG. Energy-saving operation approaches for urban rail transit systems[J]. Front. Eng, 2019, 6(2): 139-151.

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https://journal.hep.com.cn/fem/EN/10.1007/s42524-019-0030-7 OR https://journal.hep.com.cn/fem/EN/Y2019/V6/I2/139

Tab.1 Composition of traction energy consumption

Fig.1 Recommended and actual speed profiles

Fig.2 GA for optimization of train speed profile

Tab.2 Comparison of three energy storage methods

Fig.3 Schematic of the utilization of regenerative braking energy

Fig.4 Storage and utilization of regenerative braking energy

Fig.5 Integrated optimization of train scheduling and operations

Fig.6 Improving the utilization of regenerative energy by matching the departure times of trains

Fig.7 Speed profiles under different levels

Fig.8 Illustration of the space–time network

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