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Power Transformer Model in Railway Applications Based on Bond Graph and Parameter Identification

Authors :
Saba Amirdehi
Paul-Etienne Vidal
Johana Vally
Baptiste Trajin
Didier Colin
Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
ALSTOM Transport (FRANCE)
Laboratoire Génie de Production - LGP (Tarbes, France)
Alstom Transport SA
ALSTOM
Laboratoire Génie de Production (LGP)
Ecole Nationale d'Ingénieurs de Tarbes
Source :
IEEE Transactions on Transportation Electrification, IEEE Transactions on Transportation Electrification, Institute of Electrical and Electronics Engineers, 2020, pp.0. ⟨10.1109/TTE.2020.2979598⟩
Publication Year :
2020
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2020.

Abstract

International audience; Validation and verification are the most important issues in railway applications due to cost and security reasons. Therefore, having a model of the system would be necessary in this case. Due to non-ideal test conditions in industrial applications, an accurate parameter identification process has to be defined. In this paper, bond graph method is used to model energy exchanges within components of a traction chain. More precisely, the non-linear transformer model and its parameter identification is studied. In the case of non-ideal test conditions, the usual Jiles-Atherton parameter identification procedure can not be performed. Regarding state of the art, the Jiles-Atherton parameter identification is discussed. It is highlighted that an uncomplete hysteresis cycle, including extremum point and coercive field are mandatory for an accurate parameter identification. The proposed identification process is applied to a real application case. The obtained parameters are then inserted into the overall system model. The consecutive simulations are compared to experimental data obtained through traction chain test bench.

Details

ISSN :
23722088, 25774212, and 23327782
Volume :
6
Database :
OpenAIRE
Journal :
IEEE Transactions on Transportation Electrification
Accession number :
edsair.doi.dedup.....d487f8e6429c823ac34533f8e67e3688