Sizing method by optimization with energy management – Application to electrical hybrid train

Article type: Research Article

Authors: Poline, Marie^{a; b;} | Gerbaud, Laurent^b | Pouget, Julien^a | Chauvet, Frédéric^a | Castaing, Ali^a

Affiliations: [a] Innovation & Research Department, SNCF, Paris, France | [b] Université Grenoble Alpes, CNRS, Grenoble INP1, G2Elab, Grenoble, France

Correspondence: [*] Corresponding author: Marie Poline, Innovation & Research Department, SNCF, Paris, France; Univ Grenoble Alpes, CNRS, Grenoble INP1, G2Elab, 38000 Grenoble, France. E-mail: mpoline@yahoo.fr

Abstract: In France, most of the trains are electrical and some are fed by 1500 V DC voltage. When a train is traveling, the power consumption creates a voltage drop. Therefore, below a certain limit, the train has to slow down its speed. This limitation prevents the increase of traffic in some area that needs an electric reinforcement. This paper proposes to use embedded storage systems to support the voltage of the catenary. The main issue is how to size such an energy storage system? In this way, several aspects (e.g.: the energy management strategy) have to be taken into account. The paper deals with an optimization-based sizing method for the embedded energy storage systems. The proposed method takes into account the energy management strategy in the sizing by optimization. A comparison is made between the use of batteries or supercapacitors.

Keywords: Electric hybrid train, energy management, optimization, sizing, SQP

DOI: 10.3233/JAE-191112

Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 60, no. S1, pp. S133-S148, 2019