The Transactions of the Korean Institute of Power Electronics (전력전자학회논문지)

The Korean Institute of Power Electronics (전력전자학회)
권호 표지
DOI QR코드

DOI QR Code

Modelling Voltage Variation at DC Railway Traction Substation using Recursive Least Square Estimation

순환최소자승법을 이용한 직류도시철도 변전소의 가선전압변동 모델링

  • Received : 2015.08.24
  • Accepted : 2015.10.29
  • Published : 2015.12.20
Download PDF
⟨ Previous Next ⟩

Abstract

The DC overhead line voltage of an electric railway substation swings depending on the accelerating and regenerative-braking energy of trains, and it deteriorates the energy quality of the electric facility in the DC railway substation and restricts the powering and braking performance of subway trains. Recently, an energy storage system or a regenerative inverter has been introduced into railway traction substations to diminish both the variance of the overhead line voltage and the peak power consumption. In this study, the variance of the overhead line voltage in a DC railway substation is modelled by RC parallel circuits in each feeder, and the RC parameters are estimated using the recursive least mean square (RLMS) scheme. The forgetting factor values for the RLMS are selected using simulated annealing optimization, and the modelling scheme of the overhead line voltage variation is evaluated through raw data measured in a downtown railway substation.

Keywords

References

  1. S. M. Jung, H. S. Lee, K. S. Kim, H. S. Jung, H. C. Kim, and G. S. Jang, “A study on peak power reduction using regeneraive energy in railway systems through DC Subsystem interconnection,” Journal of Electrical Engineering & Technology, Vol. 8, No. 5, pp. 1070-1077, Sep. 2013. https://doi.org/10.5370/JEET.2013.8.5.1070
  2. IEC 60850, "Railway applications - Supply voltages of traction systems," IEC 2007.
  3. M. Shimada, Y. Miyaji, T. Kaneko, and K. Suzuki, "Energy-saving technology for railway traction systems using onboard storage batteries," Hitachi review, Vol. 61, No. 7, 2012.
  4. K. M. Son, J. H. Choi, and H. C. Kim, “Line voltage regulation of urban transit systems using supercapacitors,” The Transactions of Korean Institute of Power Electronics, Vol. 14, No. 6, pp. 481-487, Dec. 2009.
  5. H. M. Lee, G. D. Kim, K. B. Lee, and T. S. Kim, "Field Test of 1500V ESS for urban transit system," The Korean Institute of Electrical Engineers summer conference, pp. 2175-2176, July 2011.
  6. C. H. Bae, "A simulation study of installation locations and capacity of regenerative absorption inverters in DC 1500V electric railway system," Simulation Modelling Practice and Theory, 17(5), pp. 829-838, 2009. https://doi.org/10.1016/j.simpat.2009.02.003
  7. E. Pilo, "Power supply, energy management and catenary problems," WIT press, 2010.
  8. V. H. Duong, H. A. Bastawrous, K. Lim, K. W. See, P. Zhang and S. X. Dou, “Online state of charge and model parameters estimation of the LiFePO4 battery in electric vehicles using multiple adaptive forgetting factors recursive least-squares,” Journal of Power Source, Vol. 296, No. 20, pp. 215-224, Nov. 2015. https://doi.org/10.1016/j.jpowsour.2015.07.041
  9. H. He, X. Zhang, R. Xiong, Y. Xu, and H. Guo, "Online model-based estimation of state-of-charge and open-circuit voltage of lithium-ion batteries in electric vehicles," Energy 39, pp. 310-318, 2012. https://doi.org/10.1016/j.energy.2012.01.009
  10. H. G. Kim, S. J. Heo, and G. B. Kang, “Modeling and state observer design of HEV li-ion battery,” The Transactions of The Korean Institute of Power Electronics, Vol. 13, No. 5, pp. 360-368, Oct. 2008.
  11. Mathworks, Optimization Toolbox, Matlab 2009b.

Cited by

  1. RC Circuit Parameter Estimation for DC Electric Traction Substation Using Linear Artificial Neural Network Scheme vol.19, pp.3, 2016, https://doi.org/10.7782/JKSR.2016.19.3.314