Analytical Voltage Optimization Method for DC Railway Networks with Wayside Energy Storage System

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Analytical Voltage Optimization Method for DC Railway Networks with Wayside Energy Storage System

Conference Paper (2025)

Author(s)

J.A. Rojas Villarroel (TU Delft - DC systems, Energy conversion & Storage)

P. Bauer (TU Delft - DC systems, Energy conversion & Storage)

Sebastian Rivera (TU Delft - DC systems, Energy conversion & Storage)

Research Group

DC systems, Energy conversion & Storage

DOI related publication

https://doi.org/10.1109/IECON58223.2025.11221184

Energy storage Railways Traction Energy hub Grid congestion High power rectifiers

To reference this document use:

https://resolver.tudelft.nl/uuid:259663eb-78c6-40c5-aebe-aadf57d284c6

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Publication Year

2025

Language

English

Research Group

DC systems, Energy conversion & Storage

Bibliographical Note

Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en

ISBN (print)

979-8-3315-9682-8

ISBN (electronic)

979-8-3315-9681-1

Reuse Rights

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Abstract

This study addresses a 1.8kV bilateral feeding system for DC railway applications, composed of multi-pulse diode rectifiers at both ends and a storage unit with a DC/DC converter located at an intermediate station. The storage system introduces an additional degree of freedom to control power flows by applying a specific voltage at a strategic point between the passive rectifiers. This paper formulates a voltage compensation problem aimed at reinforcing the network while minimizing conduction losses along the catenary. Due to the nonlinear nature of the power balance equations, a closed-form analytical solution is not directly obtained. To overcome this, the paper proposes an approximation method for the pantograph voltage to enable an analytical formulation of the optimization problem. A comparison between the proposed analytical approach and a numerical iterative optimization method is presented and discussed.

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