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Short-Circuit Fault Current Modeling of a DC Light Rail System with a Wayside Energy Storage Device

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 11 May 2022Publisher:MDPI AGJournal:Energies, volume 15, page 3,527 (eissn: 1996-1073,

Authors: Petru Valentin Radu; Miroslaw Lewandowski; Adam Szelag; Marcin Steczek;

doi: 10.3390/en15103527

Short-Circuit Fault Current Modeling of a DC Light Rail System with a Wayside Energy Storage Device

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Abstract

This paper proposes a simulation model to calculate short-circuit fault currents in a DC light rail system with a wayside energy storage device. The simulation model was built in MATLAB/Simulink using the electrical information required to define a comprehensive DC traction power rail system. The short-circuit fault current results obtained from the simulation model were compared with hand calculation results obtained using EN 50123-1 guidance. The relative error was 1.02%, which validates the model. A case study was carried out for a 1500 V DC light rail system. In the case study, a method was proposed to assess the DC protection and the withstand and breaking capacity of the DC circuit breakers for maximum current and distant faults. A traction power modeling simulation was conducted for the 1500 V DC light rail system to calculate the maximum load current in the analyzed electrical sections. It is concluded that the proposed simulation model and fault methodology can be used for DC protection settings calculations and DC circuit breaker rating analysis.

Related Organizations

Warsaw University of Technology
Poland

Keywords

Technology, short-circuit analysis, fault current, T, circuit breaker, traction power modeling, wayside energy storage device; short-circuit analysis; circuit breaker; fault current; traction power modeling; fault current modeling; distant fault; close fault, wayside energy storage device, fault current modeling

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	4
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	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average