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Modeling, Controlling and Protecting of the Vehicle-Grid System in Electrified Railways

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: closed (16 October 2023) | Viewed by 4642

Special Issue Editors


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Guest Editor
School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, China
Interests: electrical relationship of EMUs and traction; detection; assessment of pantograph–catenary in high-speed railway
College of Transportation Engineering, Tongji University, Shanghai 201804, China
Interests: railway transportation; fault diagnosis; fault-tolerant control

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Guest Editor
Elnetanalyse, Energinet, 7000 Fredericia, Denmark
Interests: dynamic modeling and stability analysis of power electronics-based systems

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Guest Editor
School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
Interests: robotics control; multi-agent system; distributed optimization
Special Issues, Collections and Topics in MDPI journals
Next Generation Power Electronics Research Power, Kyushu Institute of Technology, Kitakyushu, Fukuoka 804-8550, Japan
Interests: reliability; power semiconductor devices

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Guest Editor
Department of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China
Interests: electrical machines and drives
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Electrified railways are an efficient, safe, environmental-friendly, and energy-saving way of transportation. In recent decades, they have gained remarkable achievements in developing both the economy and society. Nowadays, more and more electrified trains are taken into service and interacting with the traction power grid, resulting in a complex vehicle–grid system with a higher risk of instability and fault. On the one hand, the interaction between the traction power supply grid and the electrical multiple units may cause a harmonic instability problem or low-frequency oscillation, which could lead to the shutdown of the traction power in the vehicles. On the other hand, the components of the electrified railway suffer heavy loads and harsh operating environments, making them prone to failure and affecting the normal operation of the train. Consequently, ensuring a stable and reliable operation of the electrified railway is of paramount importance. This requires an accurate model, high-performance control, and reliable protection methods for every aspect of the vehicle–grid system.

This Special Issue aims to present recent results and new research directions in modelling, controlling, and protection methods for vehicle–grid systems in electrified railways.

Topics of interest for publication include, but are not limited to:

  • Modelling of the vehicle–grid system;
  • Nonlinear analysis of the vehicle–grid system;
  • Harmonic instability analysis and mitigation in the vehicle–grid system;
  • Stability and power quality issues in the vehicle–grid system;
  • Advanced control strategy of traction drive systems and traction power supply systems;
  • Multi-objective optimization of high-power density traction converters;
  • Protecting methods of traction power supply systems;
  • Fault diagnosis methods of traction drive systems and traction power supply systems;
  • Fault-tolerant control methods of traction drive systems and traction power supply systems;
  • New fault-tolerant topology of traction drive systems and traction power supply systems;
  • Reliability issues of components in vehicle–grid systems;

Condition monitoring and RUL prediction of components in vehicle–grid systems.

Prof. Dr. Zhigang Liu
Dr. Keting Hu
Dr. Yicheng Liao
Dr. Fangyuan Li
Dr. He Du
Dr. Zheming Jin
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  •  electrified railways
  •  vehicle–grid system
  •  nonlinear analysis
  •  stability and power quality
  •  fault diagnosis and fault tolerance
  •  reliability
  •  condition monitoring
  •  PHM

Published Papers (3 papers)

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Research

15 pages, 3871 KiB  
Article
Operation Control Method for High-Speed Maglev Based on Fractional-Order Sliding Mode Adaptive and Diagonal Recurrent Neural Network
by Wenbai Zhang, Guobin Lin, Keting Hu, Zhiming Liao and Huan Wang
Energies 2023, 16(12), 4566; https://doi.org/10.3390/en16124566 - 7 Jun 2023
Cited by 1 | Viewed by 985
Abstract
The speed profile tracking calculation of high-speed maglev trains is mainly affected by running resistance. In order to reduce the adverse effects and improve tracking accuracy, this paper presents a maglev train operation control method based on a fractional-order sliding mode adaptive and [...] Read more.
The speed profile tracking calculation of high-speed maglev trains is mainly affected by running resistance. In order to reduce the adverse effects and improve tracking accuracy, this paper presents a maglev train operation control method based on a fractional-order sliding mode adaptive and diagonal recurrent neural network (FSMA-DRNN). First, the kinematic resistance equation is established due to the three types of resistance that occur during the actual operation of a train: air resistance, guide eddy current resistance, and suspension frame generator coil resistance. Then, the FSMA-DRNN control law and parameter update law are designed, and a FSMA-DRNN operation controller is composed of three parts: speed feed forward, fractional-order sliding mode adaptive equivalent control, and diagonal recurrent neural network resistance compensation. Furthermore, by using the designed operation controller, it is proven effective by the Lyapunov theory for the stability of the closed-loop control system. Apart from the proposed theoretical analysis, the proposed approaches are verified by experiments on the high-speed maglev hardware-in-the-loop simulation platform Rt-Lab, in line with the 29.86 km test line and a five-car train from the Shanghai maglev, showing the effectiveness and superiority for operation optimization. Full article
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17 pages, 5148 KiB  
Article
Static and Dynamic Analysis of Conductor Rail with Large Cross-Sectional Moment of Inertia in Rigid Catenary Systems
by Xiaohe Feng, Shibin Gao, Yang Song, Zeyao Hu, Long Chen and Tao Liang
Energies 2023, 16(4), 1810; https://doi.org/10.3390/en16041810 - 11 Feb 2023
Cited by 4 | Viewed by 1875
Abstract
The rigid catenary system is widely used in tunnels to power electric trains via contact with a pantograph. Due to gravity, the contact wire normally has a sag that may affect the dynamic interaction performance with a pantograph. To reduce the contact wire [...] Read more.
The rigid catenary system is widely used in tunnels to power electric trains via contact with a pantograph. Due to gravity, the contact wire normally has a sag that may affect the dynamic interaction performance with a pantograph. To reduce the contact wire sag, the most efficient measure is to improve the moment of inertia of the conductor rail, which is used to clamp the contact wire. Six new types of conductor rail with large moments of inertia are developed based on a conventional conductor rail. Then both the static and dynamic analyses are conducted to investigate the performance of the new types of conductor rail with a big moment of inertia. The conductor rail’s 3D solid finite element model is built using a finite element approach. The vertical deflection and the stress distribution are comparatively analyzed among different types of conductor rail. The analysis results indicate that the vertical deflection and maximum stress are significantly reduced when using the conductor rail with a large moment of inertia. The best performance is observed when the conductor rail of case 1 is used. The maximum sag is reduced by 28.37%, and the maximum stress is decreased by 27.76% compared with the conventional conductor. Finally, a pantograph model is included to evaluate the dynamic performance of the conductor rail with large moments of inertia. The results indicate that contact force fluctuation is significantly reduced after the conductor rails with large moments of inertia are presented. The conductor rail of case 1 shows the best performance, which can reduce the contact force standard deviation by 32% and 27% at speeds of 160 km/h and 200 km/h. Full article
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20 pages, 4894 KiB  
Article
Modeling and Analysis of Low-Frequency Oscillation for Electrified Railway under Mixed Operation of Passenger and Freight Trains
by Yunling Wang, Ting Li, Jiawei Liu, Fang Liu, Yunche Su, Qiao Zhang, Weilu Zhang and Zhigang Liu
Energies 2022, 15(20), 7544; https://doi.org/10.3390/en15207544 - 13 Oct 2022
Cited by 2 | Viewed by 1175
Abstract
Addressing the shortcomings of existing low-frequency oscillation research on electrified railways, which has mainly focused on single-type trains and lacks the accurate modeling of traction inverter systems, in this paper we modeled and analyzed low-frequency oscillations in an electrified railway passenger and freight [...] Read more.
Addressing the shortcomings of existing low-frequency oscillation research on electrified railways, which has mainly focused on single-type trains and lacks the accurate modeling of traction inverter systems, in this paper we modeled and analyzed low-frequency oscillations in an electrified railway passenger and freight mixed-operation vehicle–grid system. First, an equivalent model of the DC side of the traction inverter was established, with the inverter system being equivalent to the parallel connection of the load resistance and the current source, and the specific mathematical expression was determined and verified by impedance measurement. Secondly, based on the equivalent model of the DC side of the traction inverter, a small signal model of the vehicle–grid system under the mixed operating conditions of CRH5 and HXD2B considering the inverter system was established. The generalized Nyqusit criterion was used to study the low-frequency oscillation characteristics under mixed transportation conditions. The accuracy of the established model and the correctness of the theoretical analysis were verified based on Matlab/Simulink. Finally, using the dominant pole theory to analyze the low-frequency stability conditions, the relationship between the number of mixed trains and the minimum short-circuit ratio was obtained, and the simulation verification was carried out. Full article
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