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Transformer modelling considering power losses using an inverse Jiles-Atherton approach

Authors :
Universitat Politècnica de Catalunya. Doctorat en Enginyeria Elèctrica
Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica
Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group
Badri Barberán, José Antonio
Riba Ruiz, Jordi-Roger
García Espinosa, Antonio
Trujillo, S
Marzàbal, Albert
Universitat Politècnica de Catalunya. Doctorat en Enginyeria Elèctrica
Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica
Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group
Badri Barberán, José Antonio
Riba Ruiz, Jordi-Roger
García Espinosa, Antonio
Trujillo, S
Marzàbal, Albert
Publication Year :
2023

Abstract

Power transformers are devices with non-linear behavior due to the saturation of the ferromagnetic core. When modelling such devices, the saturation effect must be taken into account because it greatly affects their performance and efficiency. In this paper, an electromagnetic model for power transformers is proposed and experimentally validated using an electrical T-model coupled with a reluctance network to model the magnetic part. The electrical circuit and the reluctance network are linked by two B–H approaches. The B–H relationships are modelled by the full hysteresis cycle based on the inverse Jiles-Atherton theory and by the initial magnetization curve. The results obtained with the inverse Jiles-Atherton theory model reproduce the magnetic core behavior with more accuracy than the one based on the initial magnetization curve, especially at low load conditions where saturation plays a more prominent role on the no-load current. The proposed model can be applied to other magnetic devices such as inductors for power electronic applications or electromechanical relays, among others.<br />Peer Reviewed<br />Postprint (published version)

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1409476002
Document Type :
Electronic Resource