New transformer model including joint air gaps and lamination anisotropy

Elleuch, M.; Poloujadoff, M.

doi:10.1109/20.718532

Cited by 35 publications

(20 citation statements)

References 41 publications

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“…Nonlinear transformer models have been proposed in literature [1]- [2]. Let us remark that during energization the transformer experiences a flux that may reach up to twice its nominal steady state value [18], [19].…”

Section: A Input Power Modelmentioning

confidence: 99%

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

Amirdehi

Trajin

Vidal

et al. 2020

IEEE Trans. Transp. Electrific.

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Didier Power transformer model in railway applications based on bond graph and parameter identification. (2020) IEEE Transactions on Transportation Electrification.Abstract-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 nonlinear 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.

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Section: A Input Power Modelmentioning

confidence: 99%

“…In many previous studies, non-ideal transformer model was proposed [1]- [2]. In [3], the mathematical analysis and modelling of the transformer is presented based on Kirchhoff law by neglecting the influence of leakage flux and hysteresis behavior of magnetizing inductance.…”

Section: Introductionmentioning

confidence: 99%

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

Amirdehi

Trajin

Vidal

et al. 2020

IEEE Trans. Transp. Electrific.

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“…The no-load current is the sum of the current , which is the object of this paper, and the magnetizing current , which is studied in other papers [54], [62].…”

Section: Model Implementationmentioning

confidence: 99%

“…At this point of our study, we realize that and are determined by the same coefficients and as indicated by (3), (4), and (9), and detailed in [62]. Since the definition of is very simple, we may study it experimentally (see Fig.…”

Section: B Identification Of Those Conductances 1) Static Conductancementioning

confidence: 99%

Analytical model of iron losses in power transformers

Elleuch¹,

Poloujadoff²

2003

IEEE Trans. Magn.

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We have improved a circuit model of transformers by defining a conductance whose losses will be close to the iron losses under any circumstance. Connecting a constant conductance cs in parallel with the main magnetizing inductance is very popular in the literature; however, it is acceptable only if the flux amplitude and frequency are reasonably constant during the time of operation, and if the value can be properly adjusted. Here, we replace cs with a nonlinear dynamic conductance cd , whose losses are a function of flux amplitude. This conductance is based on the concept of dynamical hysteresis. Its definition is such that it is determined by the same test results used for cs . Knowing the values of losses given by the manufacturer of the sheets, and the measured values of iron losses of a transformer, we can then analytically express the building factor as a function of the maximum flux density. We have applied the method to a three-leg 10-kVA transformer. It allows us to identify the cases when iron losses may be ignored, when they may be represented by a constant conductance, and when they must be represented by a nonlinear conductance.

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“…In [1], the magnetizing current in a transformer with joints is modeled by creating an equivalent magnetizing current length, which increased the reluctance of the modeled magnetic circuit to account for the additional Manuscript magnetomotive force (MMF) required to drive the flux across the joining air gaps. A modeling technique based on magnetic equivalent circuits with variable reluctances to account for saturation is described in [2]. A two-dimensional finiteelement (2-D FE) modeling method that accounted for the anisotropy of grain-oriented laminations employed in power transformers is devised in [3].…”

Section: Introductionmentioning

confidence: 99%

Modeling Overlapping Laminations in Magnetic Core Materials Using 2-D Finite-Element Analysis

2015

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This paper describes a technique for modeling overlapping laminations in magnetic core materials using two-dimensional finiteelement (2-D FE) analysis. The magnetizing characteristic of the overlapping region is captured using a simple 2-D FE model of the periodic overlapping geometry and a composite material is created, which has the same magnetization characteristic. The benefit of this technique is that it allows a designer to perform design and optimization of magnetic cores with overlapped laminations using a 2-D FE model rather than a 3-D FE model, which saves modeling and simulation time. The modeling technique is verified experimentally by creating a composite material of a lap joint with a 3-mm overlapping region and using it in a 2-D FE model of a ring sample made up of a stack of 20 laminations. The B-H curve of the simulated ring sample is compared with the B-H curve obtained experimentally and shown to be a close match.

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New transformer model including joint air gaps and lamination anisotropy

Cited by 35 publications

References 41 publications

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

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

Analytical model of iron losses in power transformers

Modeling Overlapping Laminations in Magnetic Core Materials Using 2-D Finite-Element Analysis

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