Balancing the Active Power of a Railway Traction Power Substation with an sp-RPC

Author:

Barros Luis A. M.1ORCID,Martins António P.2ORCID,Pinto José Gabriel1ORCID

Affiliation:

1. ALGORITMI Research Centre/LASI, University of Minho, 4800-058 Guimarães, Portugal

2. SYSTEC Research Center, University of Porto, 4200-465 Porto, Portugal

Abstract

The railway system is one of the safest, most efficient, and environmentally friendly means of land transport for people and goods. However, as the demand for mobility has increased, the current railway system has shown some weaknesses, requiring an increase in catenary power in order to be able to supply power to longer trains and faster locomotives, as well as to increase rail traffic. This paper proposes a control algorithm to be implemented in a sectioning post-Rail Power Conditioner (sp-RPC). The sp-RPC is connected to the neutral section between two traction power substations (TPS). With the control algorithm, it is possible to minimize the existing unbalance of the active powers of each TPS. In a regenerative braking condition, this surplus energy can be used to assist the traction of another locomotive on the existing overhead line. In this way, it is possible to increase the capacity of the overhead line. The analysis was performed with computer models using a modular multilevel converter (MMC) topology for the sp-RPC. Quantitative results for different consumption events of the locomotives and the analysis of the response to these variations are presented.

Funder

Fundação para a Ciência e Tecnologia

Portuguese FCT foundation

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

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4. UIC-ETF (Railway Technical Publications) & CER (2015). Rail Transport and Environment: Facts & Figures, CER.

5. CER (2019). The Voice of European Railways: Activity Report 2019, CER.

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