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http://dx.doi.org/10.6113/TKPE.2015.20.6.534

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

Bae, Chang-Han (Type approval team, Korea Railroad Research Institute)
Publication Information
The Transactions of the Korean Institute of Power Electronics / v.20, no.6, 2015 , pp. 534-539 More about this Journal
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
DC railway substation; Overhead line voltage; Feeder current; Recursive least square estimation;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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