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Modelling Voltage Variation at DC Railway Traction Substation using Recursive Least Square Estimation
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 Title & Authors
Modelling Voltage Variation at DC Railway Traction Substation using Recursive Least Square Estimation
Bae, Chang-Han;
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 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;
 Language
Korean
 Cited by
1.
RC Circuit Parameter Estimation for DC Electric Traction Substation Using Linear Artificial Neural Network Scheme, Journal of the Korean society for railway, 2016, 19, 3, 314  crossref(new windwow)
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