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Energies 2016, 9(9), 729; doi:10.3390/en9090729

Evaluation of Rail Potential Based on Power Distribution in DC Traction Power Systems

School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China
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Academic Editor: Paul Stewart
Received: 8 July 2016 / Revised: 22 August 2016 / Accepted: 5 September 2016 / Published: 9 September 2016
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Abstract

Running rails used as a return conductor and ungrounded scheme have been widely adopted in DC traction power systems. Due to the longitudinal resistance of running rails and insulation resistance of rail-to-ground, there will be a potential rise between running rails and the ground when return current flows through the running rails, which is known as rail potential. At present, abnormal rise of rail potential exists widely in DC traction power systems. The present rail potential model still cannot simulate and explain the abnormal rail potential in the system. Based on the analysis of power distribution with multiple trains running in multiple sections, a dynamic simulation model of rail potential in the whole line is proposed. The dynamic distribution of rail potential and stray current in DC traction power systems when multiple trains run in multiple sections is analyzed, and the impact of traction current distribution on rail potential is evaluated. Simulation results show that the abnormal rise of rail potential during the dynamic operation of the system can be evaluated effectively. View Full-Text
Keywords: DC traction power systems; rail potential; power distribution; stray current DC traction power systems; rail potential; power distribution; stray current
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Du, G.; Zhang, D.; Li, G.; Wang, C.; Liu, J. Evaluation of Rail Potential Based on Power Distribution in DC Traction Power Systems. Energies 2016, 9, 729.

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