IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v9y2016i9p729-d77857.html
   My bibliography  Save this article

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

Author

Listed:
  • Guifu Du

    (School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China)

  • Dongliang Zhang

    (School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China)

  • Guoxin Li

    (School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China)

  • Chonglin Wang

    (School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China)

  • Jianhua Liu

    (School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China)

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.

Suggested Citation

  • Guifu Du & Dongliang Zhang & Guoxin Li & Chonglin Wang & Jianhua Liu, 2016. "Evaluation of Rail Potential Based on Power Distribution in DC Traction Power Systems," Energies, MDPI, vol. 9(9), pages 1-20, September.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:9:p:729-:d:77857
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/9/9/729/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/9/9/729/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fei Lin & Shihui Liu & Zhihong Yang & Yingying Zhao & Zhongping Yang & Hu Sun, 2016. "Multi-Train Energy Saving for Maximum Usage of Regenerative Energy by Dwell Time Optimization in Urban Rail Transit Using Genetic Algorithm," Energies, MDPI, vol. 9(3), pages 1-21, March.
    2. Huan Xia & Huaixin Chen & Zhongping Yang & Fei Lin & Bin Wang, 2015. "Optimal Energy Management, Location and Size for Stationary Energy Storage System in a Metro Line Based on Genetic Algorithm," Energies, MDPI, vol. 8(10), pages 1-23, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Katarina Vranešić & Sahil Bhagat & Andrea Mariscotti & Robert Vail, 2023. "Measures and Prescriptions to Reduce Stray Current in the Design of New Track Corridors," Energies, MDPI, vol. 16(17), pages 1-25, August.
    2. Chengtao Wang & Wei Li & Yuqiao Wang & Shaoyi Xu & Kunpeng Li, 2019. "Evaluation Model for the Scope of DC Interference Generated by Stray Currents in Light Rail Systems," Energies, MDPI, vol. 12(4), pages 1-17, February.
    3. Guifu Du & Dongliang Zhang & Guoxin Li & Yihua Hu & Yang Liu & Chonglin Wang & Jianhua Liu, 2017. "Maximum Safety Regenerative Power Tracking for DC Traction Power Systems," Energies, MDPI, vol. 10(2), pages 1-19, February.
    4. Grzegorz Wieczorek & Krzysztof Bernacki & Zbigniew Rymarski & Wojciech Oliwa, 2021. "Gathering Energy of the Stray Currents in Electrified Railways Environment for Power Supply," Energies, MDPI, vol. 14(19), pages 1-19, September.
    5. Jan Szymenderski & Wojciech Machczyński & Krzysztof Budnik, 2019. "Modeling Effects of Stochastic Stray Currents from D.C. Traction on Corrosion Hazard of Buried Pipelines," Energies, MDPI, vol. 12(23), pages 1-24, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marcin Szott & Marcin Jarnut & Jacek Kaniewski & Łukasz Pilimon & Szymon Wermiński, 2021. "Fault-Tolerant Control in a Peak-Power Reduction System of a Traction Substation with Multi-String Battery Energy Storage System," Energies, MDPI, vol. 14(15), pages 1-23, July.
    2. Zhang, Huan & Zhu, Chunguang & Zheng, Wandong & You, Shijun & Ye, Tianzhen & Xue, Peng, 2016. "Experimental and numerical investigation of braking energy on thermal environment of underground subway station in China's northern severe cold regions," Energy, Elsevier, vol. 116(P1), pages 880-893.
    3. David Roch-Dupré & Carlos Camacho-Gómez & Asunción P. Cucala & Silvia Jiménez-Fernández & Álvaro López-López & Antonio Portilla-Figueras & Ramón R. Pecharromán & Antonio Fernández-Cardador & Sancho Sa, 2021. "Optimal Location and Sizing of Energy Storage Systems in DC-Electrified Railway Lines Using a Coral Reefs Optimization Algorithm with Substrate Layers," Energies, MDPI, vol. 14(16), pages 1-19, August.
    4. Jiang Liu & Tian-tian Li & Bai-gen Cai & Jiao Zhang, 2020. "Boundary Identification for Traction Energy Conservation Capability of Urban Rail Timetables: A Case Study of the Beijing Batong Line," Energies, MDPI, vol. 13(8), pages 1-25, April.
    5. Fei Lin & Shihui Liu & Zhihong Yang & Yingying Zhao & Zhongping Yang & Hu Sun, 2016. "Multi-Train Energy Saving for Maximum Usage of Regenerative Energy by Dwell Time Optimization in Urban Rail Transit Using Genetic Algorithm," Energies, MDPI, vol. 9(3), pages 1-21, March.
    6. Hammad Alnuman & Daniel Gladwin & Martin Foster, 2018. "Electrical Modelling of a DC Railway System with Multiple Trains," Energies, MDPI, vol. 11(11), pages 1-20, November.
    7. Timur Yunusov & Maximilian J. Zangs & William Holderbaum, 2017. "Control of Energy Storage," Energies, MDPI, vol. 10(7), pages 1-5, July.
    8. Regina Lamedica & Alessandro Ruvio & Laura Palagi & Nicola Mortelliti, 2020. "Optimal Siting and Sizing of Wayside Energy Storage Systems in a D.C. Railway Line," Energies, MDPI, vol. 13(23), pages 1-22, November.
    9. Mo Chen & Zhuang Xiao & Pengfei Sun & Qingyuan Wang & Bo Jin & Xiaoyun Feng, 2019. "Energy-Efficient Driving Strategies for Multi-Train by Optimization and Update Speed Profiles Considering Transmission Losses of Regenerative Energy," Energies, MDPI, vol. 12(18), pages 1-25, September.
    10. Shen, Xiaojun & Wei, Hongyang & Wei, Li, 2020. "Study of trackside photovoltaic power integration into the traction power system of suburban elevated urban rail transit line," Applied Energy, Elsevier, vol. 260(C).
    11. Olave-Rojas, David & Álvarez-Miranda, Eduardo, 2021. "Towards a complex investment evaluation framework for renewable energy systems: A 2-level heuristic approach," Energy, Elsevier, vol. 228(C).
    12. Álvaro Jaramillo-Duque & Nicolás Muñoz-Galeano & José R. Ortiz-Castrillón & Jesús M. López-Lezama & Ricardo Albarracín-Sánchez, 2018. "Power Loss Minimization for Transformers Connected in Parallel with Taps Based on Power Chargeability Balance," Energies, MDPI, vol. 11(2), pages 1-12, February.
    13. Wei, Shaoyuan & Murgovski, Nikolce & Jiang, Jiuchun & Hu, Xiaosong & Zhang, Weige & Zhang, Caiping, 2020. "Stochastic optimization of a stationary energy storage system for a catenary-free tramline," Applied Energy, Elsevier, vol. 280(C).
    14. Janusz Szkopiński & Andrzej Kochan, 2021. "Energy Efficiency and Smooth Running of a Train on the Route While Approaching Another Train," Energies, MDPI, vol. 14(22), pages 1-27, November.
    15. Jie Yang & Limin Jia & Shaofeng Lu & Yunxiao Fu & Ji Ge, 2016. "Energy-Efficient Speed Profile Approximation: An Optimal Switching Region-Based Approach with Adaptive Resolution," Energies, MDPI, vol. 9(10), pages 1-27, September.
    16. Petru Valentin Radu & Adam Szelag & Marcin Steczek, 2019. "On-Board Energy Storage Devices with Supercapacitors for Metro Trains—Case Study Analysis of Application Effectiveness," Energies, MDPI, vol. 12(7), pages 1-22, April.
    17. Shuai Su & Tao Tang & Yihui Wang, 2016. "Evaluation of Strategies to Reducing Traction Energy Consumption of Metro Systems Using an Optimal Train Control Simulation Model," Energies, MDPI, vol. 9(2), pages 1-19, February.
    18. Jia Feng & Xiamiao Li & Haidong Liu & Xing Gao & Baohua Mao, 2017. "Optimizing the Energy-Efficient Metro Train Timetable and Control Strategy in Off-Peak Hours with Uncertain Passenger Demands," Energies, MDPI, vol. 10(4), pages 1-20, March.
    19. Yinggui Zhang & Qianying Xu & Runchuan Yu & Minghui Zhao & Jiachen Liu, 2023. "Receiving Routing Approach for Virtually Coupled Train Sets at a Railway Station," Mathematics, MDPI, vol. 11(9), pages 1-21, April.
    20. Álvaro J. López-López & Ramón R. Pecharromán & Antonio Fernández-Cardador & Asunción P. Cucala, 2017. "Improving the Traffic Model to Be Used in the Optimisation of Mass Transit System Electrical Infrastructure," Energies, MDPI, vol. 10(8), pages 1-18, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:9:y:2016:i:9:p:729-:d:77857. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.