Traction power substation balance and losses estimation in AC railways using a power transfer device through Monte Carlo analysis
Vítor A. Morais, António P. Martins
Railway Engineering Science ›› 2022, Vol. 30 ›› Issue (1) : 71-95.
Traction power substation balance and losses estimation in AC railways using a power transfer device through Monte Carlo analysis
The high dynamic power requirements present in modern railway transportation systems raise research challenges for an optimal operation of railway electrification. This paper presents a Monte Carlo analysis on the application of a power transfer device installed in the neutral zone and exchanging active power between two sections. The main analyzed parameters are the active power balance in the two neighbor traction power substations and the system power losses. A simulation framework is presented to comprise the desired analysis and a universe of randomly distributed scenarios are tested to evaluate the effectiveness of the power transfer device system. The results show that the density of trains and the relative branch length of a traction power substation should be considered in the evaluation phase of the best place to install a power transfer device, towards the reduction of the operational power losses, while maintaining the two substations balanced in terms of active power.
Electric traction systems / Monte Carlo analysis / Power transfer device / Power quality / Railway power systems / Smart railways
[1.] |
International Energy Agency (IEA) and International Union of Railways (2017) Energy consumption and CO2 emissions focus on passenger rail services.
|
[2.] |
|
[3.] |
|
[4.] |
Shift2Rail Joint Undertaking (2019) Multi-Anual action plan. (amended version: 2019). Tech. rep., Luxembourg
|
[5.] |
Tumilowicz A, Sugarman M (2020) IN2STEMPO: How smart maintenance could help support the decarbonisation of our rail network. Global Railway Review 2020(5). https://www.globalrailwayreview.com/article/111634/global-railway-review-issue-5-2020/
|
[6.] |
Tumilowicz A (2021) In2stempo – brochure: Innovative solutions in future stations, energy metering & power supply. https://projects.shift2rail.org/download.aspx?id=cb167b43-c2a6-4a8a-bd6f-41cd162a964c
|
[7.] |
|
[8.] |
|
[9.] |
|
[10.] |
|
[11.] |
|
[12.] |
|
[13.] |
|
[14.] |
|
[15.] |
|
[16.] |
|
[17.] |
Winkelnkemper M, Korn A, Steimer P (2010) A modular direct converter for transformerless rail interties. In: 2010 IEEE International Symposium on Industrial Electronics. 4–7 July 2010, Bari
|
[18.] |
|
[19.] |
|
[20.] |
|
[21.] |
|
[22.] |
|
[23.] |
|
[24.] |
|
[25.] |
|
[26.] |
|
[27.] |
|
[28.] |
|
[29.] |
|
[30.] |
Rodrigues P, Morais VA, Martins A, Carvalho A (2019) STATCOM simulation models for analysis of electrified railways. In: IECON 2019 – 45th Annual Conference of the IEEE Industrial Electronics Society. 14–17 Oct., Lisbon
|
[31.] |
Barros L, Tanta M, Martins A, Afonso J, Pinto J (2021) Evaluation of static synchronous compensator and rail power conditioner in electrified railway systems using v/v and scott power transformers. EAI Endorsed Transactions on Energy Web p. 169164
|
[32.] |
|
[33.] |
|
[34.] |
|
[35.] |
International Union of Railways (UIC) (2016) Fundación de los Ferrocarriles Españoles (FFE): Technologies and potential developments for energy efficiencyand CO2 reductions in rail systems
|
[36.] |
|
[37.] |
|
[38.] |
Hansen I, Pachl J (2014) Railway Timetabling & Operations. PMC Media House
|
[39.] |
|
[40.] |
Zinser M, Betz T, Becker M, Geilke M, Terschlüsen C, Kaluza A, Johansson I, Warg J (2019) Prism: A macroscopic Monte Carlo railway simulation. In: Proceedings of The 12th World Congress on Railway Research (WCRR). Tokyo
|
[41.] |
Yang S, Wu M (2010) Load probability model of electrified railway traction substation. Automation of Electric Power Systems 34(24):40–45
|
[42.] |
|
[43.] |
|
[44.] |
Zhang LY, Li QZ, Xing XQ (2009) Probability distribution for the feeder current of traction substation. In: 2009 Asia-Pacific Power and Energy Engineering Conference. 27-31 March, Wuhan
|
[45.] |
Tang K, Li Q, Zhang L (2010) Probability distribution of feeder current of electrified railway traction. pp. 1–4. Chengdu
|
[46.] |
Snider L, Lo E, Lai T (2001) Stochastic power quality study of distribution supply to metro transit railway. pp. 283–288 vol.1. IEEE, Vancouver, BC, Canada
|
[47.] |
Li J, Huang S, Zhao J, Daozhi X (2002) Simulation for probabilistic harmonic currents of electrical railway traction substation. In: Proceedings of the International Conference on Power System Technology, vol. 4, pp. 2511–2515. Kunming, China
|
[48.] |
|
[49.] |
de la Fuente EP, Jiménez-Octavio J, Rodriguez-Pecharroman R, Lopez AL (2011) Stochastic traffic generator for monte carlo load flow simulation. WIT Transactions on Modelling and Simulation 51
|
[50.] |
Brandimarte P (2014) Handbook in Monte Carlo Simulation: Applications in Financial Engineering, Risk Management, and Economics. Wiley, pp 1–10
|
[51.] |
|
/
〈 |
|
〉 |