Maximum Safety Regenerative Power Tracking for DC Traction Power Systems

Guifu Du, Dongliang Zhang, Guoxin Li, Yihua Hu, Yang Liu, Chonglin Wang and Jianhua Liu
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Guifu Du: School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221008, China
Dongliang Zhang: School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221008, China
Guoxin Li: School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221008, China
Yihua Hu: Department of Electrical Engineering & Electronic, University of Liverpool, Liverpool L69 3BX, UK
Yang Liu: Department of Electrical Engineering & Electronic, University of Liverpool, Liverpool L69 3BX, UK
Chonglin Wang: School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221008, China
Jianhua Liu: School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221008, China

Energies, 2017, vol. 10, issue 2, 1-19

Abstract: Direct current (DC) traction power systems are widely used in metro transport systems, with running rails usually being used as return conductors. When traction current flows through the running rails, a potential voltage known as “rail potential” is generated between the rails and ground. Currently, abnormal rises of rail potential exist in many railway lines during the operation of railway systems. Excessively high rail potentials pose a threat to human life and to devices connected to the rails. In this paper, the effect of regenerative power distribution on rail potential is analyzed. Maximum safety regenerative power tracking is proposed for the control of maximum absolute rail potential and energy consumption during the operation of DC traction power systems. The dwell time of multiple trains at each station and the trigger voltage of the regenerative energy absorbing device (READ) are optimized based on an improved particle swarm optimization (PSO) algorithm to manage the distribution of regenerative power. In this way, the maximum absolute rail potential and energy consumption of DC traction power systems can be reduced. The operation data of Guangzhou Metro Line 2 are used in the simulations, and the results show that the scheme can reduce the maximum absolute rail potential and energy consumption effectively and guarantee the safety in energy saving of DC traction power systems.

Keywords: direct current (DC) traction power systems; rail potential; regenerative energy distribution; operation optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
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