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Novel Cooperative Controller Design of Heterogeneous Energy Storages for Economic Applications in Electric Railway Systems

  • Hansang Lee
  • Jaewon Kim
  • Changmu Lee
  • Joorak KimEmail author
Original Article
  • 14 Downloads

Abstract

Owing to the consistently increased request about efficiency improvement through utilization of regenerative energy from braking railway vehicle in the DC electric railway systems, there are a lot of researches about energy storage applications. However, the feasibility of ESS technology application is usually limited by economic factors rather than technical factors of it. Therefore, this paper proposes the application of heterogeneous energy storage system based on ramp-rate-considered cooperative controller in order to improve economics. The heterogeneous combination of energy storage devices with different technical advantages can gives a more economical solution to respond to individual specifications required by the system. A ramp-rate-considered cooperative controller for the heterogeneous ESS application is presented numerically, and effectiveness of the proposed method has been verified through electromagnetic transient simulation.

Keywords

Heterogeneous energy storage Electric railway system Ramp rate SOC management Cooperative control Regenerative power Energy saving 

Notes

References

  1. 1.
    IEEE Std. P2030.2/D8.0 (2014) IEEE draft guide for the interoperability of energy storage systems integrated with the electric power infrastructureGoogle Scholar
  2. 2.
    IEEE Std. 1887-2017 (2017) IEEE guide for wayside energy storage systems for DC traction applicationsGoogle Scholar
  3. 3.
    Yan N, Zhang Bo, Li W, Ma S (2018) Hybrid energy storage capacity allocation method for active distribution network considering demand side response. IEEE Trans Appl Supercond 29(2):5700204Google Scholar
  4. 4.
    Nilanjan M, Dani S (2015) Analysis and comparative study of different converter modes in modular second-life hybrid battery energy storage systems. IEEE J Emerg Sel Top Power Electron 4(2):547–563Google Scholar
  5. 5.
    Zhou T, Sun W (2014) Optimization of battery-supercapacitor hybrid energy storage station in wind/solar generation system. IEEE Trans Sustain Energy 5(2):408–415CrossRefGoogle Scholar
  6. 6.
    Lee H, Lee H, Lee C, Jang G, Kim G (2010) Energy storage application strategy on DC electric railroad system using a novel railroad analysis algorithm. J Electr Eng Technol 5(2):228–238CrossRefGoogle Scholar
  7. 7.
    Lee H, Song J, Lee H, Lee C, Jang G, Kim G (2011) Capacity optimization of the supercapacitor energy storages on DC railway system using a railway powerflow algorithm. Int J Innov Comp Inf Control 7(5):2739–2753Google Scholar
  8. 8.
    Hansang L, Sung-Kwan J, Gilsoo J (2018) CDF-based capacity estimation method for stationary regenerative solution in parallel-fed DC urban subway transit. IEEE Trans Sustain Energy.  https://doi.org/10.1109/TSTE.2018.2889325 CrossRefGoogle Scholar
  9. 9.
    Jaewon K, Joonhyoung R, Gildong K, Jaebum L, Sanghoon C, Changmu L, Joorak K, Yongkuk O, Hansang L, Jooha K (2019) A proposed fast charging and high power system for wireless railway trains adopting the input voltage sharing topology and the balancing control scheme. IEEE Trans Ind Electron.  https://doi.org/10.1109/TIE.2019.2938472 CrossRefGoogle Scholar

Copyright information

© The Korean Institute of Electrical Engineers 2020

Authors and Affiliations

  1. 1.Semyung UniversityJecheonSouth Korea
  2. 2.Korea Railroad Research InstituteUiwangSouth Korea

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