Modelling on Novel Cable Traction Power Supply System and Power Distribution Analysis

Zhang, Liyan; Liang, Shiwen; Li, Xin; Jia, Ying

doi:10.1109/tpwrd.2021.3069980

Cited by 6 publications

(1 citation statement)

References 25 publications

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“…Much research has been done on the propagation characteristics of high-order harmonics in the traction power supply system [1][2][3][4]. For better analysis, circuit mathematical models [5,6] and simulation models [7] of locomotives and traction networks have been built. The basis of mathematical and simulation models, the harmonic emission and propagation characteristics of locomotive currents are studied by combining the modal analysis method and the spectrum analysis method [8].…”

Section: Introductionmentioning

confidence: 99%

Propagation Characteristics and Identification of High-Order Harmonics of a Traction Power Supply System

Mei

Yang

et al. 2022

Energies

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High-order harmonics in the traction power supply show negative effects on the safe and stable operation of the railway transportation system. There is a fixed resonant frequency in the traction network. When the harmonic current frequency produced by the locomotive matches the resonant frequency of the traction network, it will cause high-frequency resonant overvoltage. The propagation path of the high-order harmonics of the traction load is analyzed based on a V/v wiring traction transformer. The propagation characteristics of high-order harmonics on self-used equipment at 380 V low-voltage side and 27.5 kV high-voltage side are expounded. A simulation model for the low-voltage self-consumption power system is established and the singular value decomposition algorithm is proposed to identify the harmonic impedance. The simulation results show that the proposed method can reduce the error to within 0.1%. Under realistic conditions, the overvoltage caused by high-order harmonics is difficult to identify. To solve this problem, an overvoltage identification algorithm for Electric Multiple Units based on a convolutional neural network is proposed. The ShuffleNet neural network model is then used to identify high-order harmonics overvoltage and other types of overvoltage. The overall accuracy of the proposed classification model can be improved from 97.12% to 98.44%. Better recognition and classification performances can also be achieved.

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Section: Introductionmentioning

confidence: 99%

Propagation Characteristics and Identification of High-Order Harmonics of a Traction Power Supply System

Mei

Yang

et al. 2022

Energies

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Electrical characteristics of new three-phase traction power supply system for rail transit

Huang

Wang

et al. 2022

Rail. Eng. Science

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A novel three-phase traction power supply system is proposed to eliminate the adverse effects caused by electric phase separation in catenary and accomplish a unifying manner of traction power supply for rail transit. With the application of two-stage three-phase continuous power supply structure, the electrical characteristics exhibit new features differing from the existing traction system. In this work, the principle for voltage levels determining two-stage network is dissected in accordance with the requirements of traction network and electric locomotive. The equivalent model of three-phase traction system is built for deducing the formula of current distribution and voltage losses. Based on the chain network model of the traction network, a simulation model is established to analyze the electrical characteristics such as traction current distribution, voltage losses, system equivalent impedance, voltage distribution, voltage unbalance and regenerative energy utilization. In a few words, quite a lot traction current of about 99% is undertaken by long-section cable network. The proportion of system voltage losses is small attributed to the two-stage three-phase power supply structure, and the voltage unbalance caused by impedance asymmetry of traction network is less than 1‰. In addition, the utilization rate of regenerative energy for locomotive achieves a significant promotion of over 97%.

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Traction power systems for electrified railways: evolution, state of the art, and future trends

Hu,

Liu,

et al. 2023

Rail. Eng. Science

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Traction power systems (TPSs) play a vital role in the operation of electrified railways. The transformation of conventional railway TPSs to novel structures is not only a trend to promote the development of electrified railways toward high-efficiency and resilience but also an inevitable requirement to achieve carbon neutrality target. On the basis of sorting out the power supply structures of conventional AC and DC modes, this paper first reviews the characteristics of the existing TPSs, such as weak power supply flexibility and low-energy efficiency. Furthermore, the power supply structures of various TPSs for future electrified railways are described in detail, which satisfy longer distance, low-carbon, high-efficiency, high-reliability and high-quality power supply requirements. Meanwhile, the application prospects of different traction modes are discussed from both technical and economic aspects. Eventually, this paper introduces the research progress of mixed-system electrified railways and traction power supply technologies without catenary system, speculates on the future development trends and challenges of TPSs and predicts that TPSs will be based on the continuous power supply mode, employing power electronic equipment and intelligent information technology to construct a railway comprehensive energy system with renewable energy.

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Modelling on Novel Cable Traction Power Supply System and Power Distribution Analysis

Cited by 6 publications

References 25 publications

Propagation Characteristics and Identification of High-Order Harmonics of a Traction Power Supply System

Propagation Characteristics and Identification of High-Order Harmonics of a Traction Power Supply System

Electrical characteristics of new three-phase traction power supply system for rail transit

Traction power systems for electrified railways: evolution, state of the art, and future trends

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