IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i17p4379-d403700.html
   My bibliography  Save this article

New Reactive Power Compensation Strategies for Railway Infrastructure Capacity Increasing

Author

Listed:
  • Vítor A. Morais

    (Department of Electrical and Computers Engineering, University of Porto, 4200-465 Porto, Portugal)

  • João L. Afonso

    (Centro ALGORITMI, University of Minho, 4800-058 Guimarães, Portugal)

  • Adriano S. Carvalho

    (Department of Electrical and Computers Engineering, University of Porto, 4200-465 Porto, Portugal)

  • António P. Martins

    (Department of Electrical and Computers Engineering, University of Porto, 4200-465 Porto, Portugal)

Abstract

In AC railway electrification systems, the impact of reactive power flow in the feeding voltage magnitude is one aspect contributing to the quality of supply degradation. Specifically, this issue results in limitations in the infrastructure capacity, either in the maximum number of trains and in maximum train power. In this paper, two reactive power compensation strategies are presented and compared, in terms of the theoretical railway infrastructure capacity. The first strategy considers a static VAR compensator, located in the neutral zone and compensating the substation reactive power, achieving a maximum capacity increase up to 50% without depending on each train active power. The second strategy adapts each train reactive power, achieving also a capacity increase around 50%, only with an increase of the train apparent power below 10%. With a smart metering infrastructure, the implementation of such compensation strategy is viable, satisfying the requirements of real-time knowledge of the railway electrification system state. Specifically, the usage of droop curves to adapt in real time the compensation scheme can bring the operation closer to optimality. Thus, the quality of supply and the infrastructure capacity can be increased with a mobile reactive power compensation scheme, based on a smart metering framework.

Suggested Citation

  • Vítor A. Morais & João L. Afonso & Adriano S. Carvalho & António P. Martins, 2020. "New Reactive Power Compensation Strategies for Railway Infrastructure Capacity Increasing," Energies, MDPI, vol. 13(17), pages 1-25, August.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:17:p:4379-:d:403700
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/17/4379/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/13/17/4379/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mohamed Tanta & José Gabriel Pinto & Vitor Monteiro & Antonio P. Martins & Adriano S. Carvalho & Joao L. Afonso, 2020. "Topologies and Operation Modes of Rail Power Conditioners in AC Traction Grids: Review and Comprehensive Comparison," Energies, MDPI, vol. 13(9), pages 1-30, May.
    2. Abril, M. & Barber, F. & Ingolotti, L. & Salido, M.A. & Tormos, P. & Lova, A., 2008. "An assessment of railway capacity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(5), pages 774-806, September.
    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. Andrea Mariscotti & Leonardo Sandrolini, 2021. "Detection of Harmonic Overvoltage and Resonance in AC Railways Using Measured Pantograph Electrical Quantities," Energies, MDPI, vol. 14(18), pages 1-22, September.
    2. Zbigniew Olczykowski & Jacek Kozyra, 2022. "Propagation of Disturbances Generated by DC Electric Traction," Energies, MDPI, vol. 15(18), pages 1-22, September.
    3. Mohamed Tanta & Jose Cunha & Luis A. M. Barros & Vitor Monteiro & José Gabriel Oliveira Pinto & Antonio P. Martins & Joao L. Afonso, 2021. "Experimental Validation of a Reduced-Scale Rail Power Conditioner Based on Modular Multilevel Converter for AC Railway Power Grids," Energies, MDPI, vol. 14(2), pages 1-27, January.
    4. Hamed Jafari Kaleybar & Morris Brenna & Federica Foiadelli & Seyed Saeed Fazel & Dario Zaninelli, 2020. "Power Quality Phenomena in Electric Railway Power Supply Systems: An Exhaustive Framework and Classification," Energies, MDPI, vol. 13(24), pages 1-35, December.
    5. Joao L. Afonso & Luiz A. Lisboa Cardoso & Delfim Pedrosa & Tiago J. C. Sousa & Luis Machado & Mohamed Tanta & Vitor Monteiro, 2020. "A Review on Power Electronics Technologies for Electric Mobility," Energies, MDPI, vol. 13(23), pages 1-61, December.

    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. Francesco Rotoli & Elena Navajas Cawood & Antonio Soria, 2016. "Capacity assessment of railway infrastructure: Tools, methodologies and policy relevance in the EU context," JRC Research Reports JRC100509, Joint Research Centre.
    2. Behiri, Walid & Belmokhtar-Berraf, Sana & Chu, Chengbin, 2018. "Urban freight transport using passenger rail network: Scientific issues and quantitative analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 227-245.
    3. Coviello, Nicola, 2015. "Modelling periodic operations on single track lines: Timetable design and stability evaluation," Research in Transportation Economics, Elsevier, vol. 54(C), pages 2-14.
    4. Oskar Fr�idh & Hans Sipil� & Jennifer Warg, 2014. "Capacity for express trains on mixed traffic lines," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 2(1), pages 17-27, February.
    5. Bugalia, Nikhil & Maemura, Yu & Ozawa, Kazumasa, 2021. "Demand risk management of private High-Speed Rail operators: A review of experiences in Japan and Taiwan," Transport Policy, Elsevier, vol. 113(C), pages 67-76.
    6. Xu, Xin-yue & Liu, Jun & Li, Hai-ying & Jiang, Man, 2016. "Capacity-oriented passenger flow control under uncertain demand: Algorithm development and real-world case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 130-148.
    7. Ait Ali, Abderrahman & Warg, Jennifer & Eliasson, Jonas, 2020. "Pricing commercial train path requests based on societal costs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 452-464.
    8. Maosheng Li & Zhengqiu Liu & Yonghong Zhang & Weijun Liu & Feng Shi, 2017. "Distribution analysis of train interval journey time employing the censored model with shifting character," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(4), pages 715-733, March.
    9. Line Blander Reinhardt & David Pisinger & Richard Lusby, 2018. "Railway capacity and expansion analysis using time discretized paths," Flexible Services and Manufacturing Journal, Springer, vol. 30(4), pages 712-739, December.
    10. Chen, Zebin & Li, Shukai & D’Ariano, Andrea & Yang, Lixing, 2022. "Real-time optimization for train regulation and stop-skipping adjustment strategy of urban rail transit lines," Omega, Elsevier, vol. 110(C).
    11. Zhang, Jiamin, 2015. "Analysis on line capacity usage for China high speed railway with optimization approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 336-349.
    12. Li, Feng & Gao, Ziyou & Wang, David Z.W. & Liu, Ronghui & Tang, Tao & Wu, Jianjun & Yang, Lixing, 2017. "A subjective capacity evaluation model for single-track railway system with δ-balanced traffic and λ-tolerance level," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 43-66.
    13. Cacchiani, Valentina & Furini, Fabio & Kidd, Martin Philip, 2016. "Approaches to a real-world Train Timetabling Problem in a railway node," Omega, Elsevier, vol. 58(C), pages 97-110.
    14. Masoud Yaghini & Mohammadreza Sarmadi & Nariman Nikoo & Mohsen Momeni, 2014. "Capacity Consumption Analysis Using Heuristic Solution Method for Under Construction Railway Routes," Networks and Spatial Economics, Springer, vol. 14(3), pages 317-333, December.
    15. Talebian, Ahmadreza & Zou, Bo, 2015. "Integrated modeling of high performance passenger and freight train planning on shared-use corridors in the US," Transportation Research Part B: Methodological, Elsevier, vol. 82(C), pages 114-140.
    16. Gedik, Ridvan & Medal, Hugh & Rainwater, Chase & Pohl, Ed A. & Mason, Scott J., 2014. "Vulnerability assessment and re-routing of freight trains under disruptions: A coal supply chain network application," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 45-57.
    17. Zdenka Bulková & Jozef Gašparík & Jaroslav Mašek & Vladislav Zitrický, 2022. "Analytical Procedures for the Evaluation of Infrastructural Measures for Increasing the Capacity of Railway Lines," Sustainability, MDPI, vol. 14(21), pages 1-28, November.
    18. Yang, Yu & He, Ze & Song, Zouying & Fu, Xin & Wang, Jianwei, 2018. "Investigation on structural and spatial characteristics of taxi trip trajectory network in Xi’an, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 755-766.
    19. Rowangould, Gregory, 2013. "Public financing of private freight rail infrastructure to reduce highway congestion: A case study of public policy and decision making in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 57(C), pages 25-36.
    20. Joao L. Afonso & Luiz A. Lisboa Cardoso & Delfim Pedrosa & Tiago J. C. Sousa & Luis Machado & Mohamed Tanta & Vitor Monteiro, 2020. "A Review on Power Electronics Technologies for Electric Mobility," Energies, MDPI, vol. 13(23), pages 1-61, December.

    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:13:y:2020:i:17:p:4379-:d:403700. 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.