An Investigation on Recuperation of Regenerative Braking Energy in DC Railway Electrification System

Hoo, Dick Sang; Chua, Kein Huat; Hau, Lee Cheun; Chong, Kah Yun; Lim, Yun Seng; Chua, Xin Rong; Wang, Li

doi:10.1109/icpea53519.2022.9744671

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…Many scholars have studied the features and utilization of RB energy consumption of electric transportation systems. The related research focuses on the high-speed railway (HSR) and the metro so far [3][4][5]. Although the MLS maglev possesses great development prospects, there are still relatively few lines in commercial operation, and there are relatively very few research documents related to the MLS maglev RB.…”

Section: Introductionmentioning

confidence: 99%

Positive Rail Voltage Rise Behavior and Inhibition Analysis of Regenerative Braking of Medium–Low-Speed Maglev Train

Huang

2024

Energies

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When a medium–low-speed (MLS) maglev train is braking, part of its regenerative braking (RB) power consumption may cause a significant rise in the positive rail (PR) voltage. For RB energy re-utilization, an RB energy feedback system (RBEFS) is a promising application, but there is still no specific research in the field of MLS maglev trains. From this perspective, this article focuses on identifying the PR voltage rise behavior and investigating the application of an RBEFS on the over-voltage inhibition. Some development trends of the MLS maglev train, including the DC 3 kV traction grid system and the speed being raised to 160~200 km/h, are also considered in the analyzed scenarios. At first, a modeling scheme of a detailed vehicle–grid electrical power model with the RBEFS is established. On this basis, the PR voltage rise characteristics are analyzed with consideration of three pivotal influencing factors: RB power, PR impedance and supply voltage level. Subsequently, to stabilize the PR voltage fluctuations, the influence rules of the RBEFS on the voltage rise and the mutual transient voltage influences under the operating status switching for multiple vehicles running on the same power supply section are analyzed.

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Section: Introductionmentioning

confidence: 99%

Positive Rail Voltage Rise Behavior and Inhibition Analysis of Regenerative Braking of Medium–Low-Speed Maglev Train

Huang

2024

Energies

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“…In order to increase the efficiency of the ESS, it is necessary to take into account the inclination of the vehicle route, that is, the influence of gravity, which changes the characteristics of the vehicle from the point of view of the current load on the power grid. In [28], it is shown that long distances between stations, as well as height differences between stations, lower the recuperation of regenerative braking energy. The negative influence of gravity on the energy consumption of the vehicle can be reduced by using appropriate algorithms to control the regenerative braking system [29].…”

Section: Introductionmentioning

confidence: 99%

An Energy Flow Control Algorithm of Regenerative Braking for Trams Based on Pontryagin’s Minimum Principle

Župan,

Šunde,

Ban

et al. 2023

Energies

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Energy savings in electric rail transport are important in order to increase energy efficiency and reduce its carbon footprint. This can be achieved by storing and using the energy generated during regenerative braking. The system described in this paper consists of a supercapacitor energy storage system (SC ESS), a bidirectional DC/DC converter, and an algorithm to control the energy flow. The proper design of the algorithm is critical for maximizing energy savings and stabilizing the power grid, and it affects the lifetime of the SC ESS. This paper presents an energy flow control algorithm based on Pontryagin’s minimum principle that balances maximum energy savings with maximum SC ESS lifetime. The algorithm also performs SC ESS recharging while the rail vehicle stops on inclines to reduce the impact of its next acceleration on the power grid. To validate the algorithm, offline simulations are performed using real tram speed measurements. The results are then verified with a real-time laboratory emulation setup with HIL simulation. The tram and power grid are emulated with LiFePO4 batteries, while the SC ESS is emulated with a supercapacitor. The proposed algorithm controls a three-phase converter that enables energy exchange between the batteries and the supercapacitor. The results show that the proposed algorithm is feasible in real time and that it can be used under real operating conditions.

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An Investigation on Recuperation of Regenerative Braking Energy in DC Railway Electrification System

Cited by 2 publications

References 15 publications

Positive Rail Voltage Rise Behavior and Inhibition Analysis of Regenerative Braking of Medium–Low-Speed Maglev Train

Positive Rail Voltage Rise Behavior and Inhibition Analysis of Regenerative Braking of Medium–Low-Speed Maglev Train

An Energy Flow Control Algorithm of Regenerative Braking for Trams Based on Pontryagin’s Minimum Principle

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