A Survey on Energy-Efficient Train Operation for Urban Rail Transit

Yang, Xin; Li, Xiang; Ning, Bin; Tang, Tao

doi:10.1109/tits.2015.2447507

Cited by 320 publications

(148 citation statements)

References 71 publications

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“…When the train uses regenerative braking, the regenerative energy will be fed back to the catenary. The regenerative energy in the system may be absorbed by accelerating trains, wasted by heating resistors, absorbed by energy storage devices and fed back to the alternating current (AC) side by a regenerative inverter [15]. Currently, the energy storage devices and regenerative inverter are not widely used in the railway lines.…”

Section: Groundmentioning

confidence: 99%

Maximum Safety Regenerative Power Tracking for DC Traction Power Systems

Zhang

et al. 2017

Energies

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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.

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Section: Groundmentioning

confidence: 99%

Maximum Safety Regenerative Power Tracking for DC Traction Power Systems

Zhang

et al. 2017

Energies

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“…The recent paper by X. Yang et al (2016) also provides a review of EETC and EETT with a focus on urban rail. In contrast to that paper, we consider general railway systems and focus on the differences in the mathematical problem formulations and solution approaches.…”

Section: Introductionmentioning

confidence: 99%

Review of energy-efficient train control and timetabling

Scheepmaker

Goverde

Kroon

2017

European Journal of Operational Research

333

149

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The energy consumption of trains is highly efficient due to the low friction between steel wheels and rails, although the efficiency is also influenced largely by the driving strategy applied and the scheduled running times in the timetable. Optimal energy-efficient driving strategies can reduce operating costs significantly and contribute to a further increase of the sustainability of railway transportation. The railway sector hence shows an increasing interest in efficient algorithms for energy-efficient train control, which could be used in real-time Driver Advisory Systems (DAS) or Automatic Train Operation (ATO) systems. This paper gives an extensive literature review on energy-efficient train control (EETC) and the related topic of energy-efficient train timetabling (EETT), from the first simple models from the 1960s of a train running on a level track to the advanced models and algorithms of the last decade dealing with varying gradients and speed limits, and including regenerative braking. Pontryagin's Maximum Principle (PMP) has been applied intensively to derive optimal driving regimes that make up the optimal energy-efficient driving strategy of a train under different conditions. Still, the optimal sequence and switching points of the optimal driving regimes are not trivial in general, which led to a wide range of optimization models and algorithms to compute the optimal train trajectories and more recently to use them to optimize timetables with a trade-off between energy efficiency and travel times.

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“…Recently, the railway system has experienced rapid development all over the world [1] with both the freight and passenger traffic demands increasing. According to a report from the National Railway Administration of the People's Republic of China, the railway passenger and cargo transportation volume in China were 2.535 billion and 3.358 billion tons, respectively, in 2015 [2].…”

Section: Introductionmentioning

confidence: 99%

Turnout Fault Diagnosis through Dynamic Time Warping and Signal Normalization

Huang

Zhang

et al. 2017

Journal of Advanced Transportation

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Turnout is one key fundamental infrastructure in the railway signal system, which has great influence on the safety of railway systems. Currently, turnout fault diagnoses are conducted manually in China; engineers are obliged to observe the signals and make problem solving decisions. Thus, the accuracies of fault diagnoses totally depend on the engineers' experience although massive data are produced in real time by the turnout microcomputer-based monitoring systems. This paper aims to develop an intelligent diagnosis method for railway turnout through Dynamic Time Warping (DTW). We firstly extract the features of normal turnout operation current curve and normalize the collected turnout current curves. Then, five typical fault reference curves are ascertained through the microcomputer-based monitoring system, and DTW is used to identify the turnout current curve fault through test data. The analysis results based on the similarity data indicate that the analyzed five turnout fault types can be diagnosed automatically with 100% accuracy. Finally, the benefits of the proposed method and future research directions were discussed.

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A Survey on Energy-Efficient Train Operation for Urban Rail Transit

Cited by 320 publications

References 71 publications

Maximum Safety Regenerative Power Tracking for DC Traction Power Systems

Maximum Safety Regenerative Power Tracking for DC Traction Power Systems

Review of energy-efficient train control and timetabling

Turnout Fault Diagnosis through Dynamic Time Warping and Signal Normalization

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