Transformer Operation at Deep Saturation: Model and Parameter Determination

Monteiro, T. C.; Martinz, Fernando Ortiz; Matakas, Lourenco; Komatsu, Wilson

doi:10.1109/tia.2012.2190256

Cited by 18 publications

(7 citation statements)

References 12 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]. However, this phenomenon is not taken into account in this paper.…”

Section: A Input Power Modelmentioning

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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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%

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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“…∂H is described by the J-A model in Equation (5). The inrush current can be achieved by computing Equation (10).…”

Section: ∂Mmentioning

confidence: 99%

“…It is featured by its large magnitude and rich harmonics. Inrush current is caused by the saturation of the iron core [4,5] in the power transformer. Due to the hysteresis characteristic [6][7][8] of the iron core, the transformer can enter severe saturation conditions.…”

Section: Introductionmentioning

confidence: 99%

Automatic J–A Model Parameter Tuning Algorithm for High Accuracy Inrush Current Simulation

Wen

Jing-zhuo

2017

Energies

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Inrush current simulation plays an important role in many tasks of the power system, such as power transformer protection. However, the accuracy of the inrush current simulation can hardly be ensured. In this paper, a Jiles-Atherton (J-A) theory based model is proposed to simulate the inrush current of power transformers. The characteristics of the inrush current curve are analyzed and results show that the entire inrush current curve can be well featured by the crest value of the first two cycles. With comprehensive consideration of both of the features of the inrush current curve and the J-A parameters, an automatic J-A parameter estimation algorithm is proposed. The proposed algorithm can obtain more reasonable J-A parameters, which improve the accuracy of simulation. Experimental results have verified the efficiency of the proposed algorithm.

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“…Depending on available equipment, this could be time consuming if no automated processes can be foreseen. Saturation and skin effects can be considered by extending the model order as in [21]- [24], where additional parameters, describing the nonlinearity of these phenomena, can be identified together with the rest of the transformer parameters. However, the authors of this paper decided to avoid such an approach and tried to keep unchanged the order of the equivalent circuit in Fig.…”

Section: Considering Magnetic Saturation and Skin Effectsmentioning

confidence: 99%

Frequency-Domain Maximum-Likelihood Estimation of High-Voltage Pulse Transformer Model Parameters

Aguglia

Viarouge

Martins

2013

IEEE Trans. on Ind. Applicat.

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Abstract-This paper presents an offline frequency-domain nonlinear and stochastic identification method for equivalent model parameter estimation of high-voltage pulse transformers. Such kinds of transformers are widely used in the pulsed-power domain, and the difficulty in deriving pulsed-power converter optimal control strategies is directly linked to the accuracy of the equivalent circuit parameters. These components require models which take into account electric fields energies represented by stray capacitance in the equivalent circuit. These capacitive elements must be accurately identified, since they greatly influence the general converter performances. A nonlinear frequency-based identification method, based on maximum-likelihood estimation, is presented, and a sensitivity analysis of the best experimental test to be considered is carried out. The procedure takes into account magnetic saturation and skin effects occurring in the windings during the frequency tests. The presented method is validated by experimental identification of a 2-MW-100-kV pulse transformer. Index Terms-High-voltage (HV) techniques, identification

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Transformer Operation at Deep Saturation: Model and Parameter Determination

Cited by 18 publications

References 12 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

Automatic J–A Model Parameter Tuning Algorithm for High Accuracy Inrush Current Simulation

Frequency-Domain Maximum-Likelihood Estimation of High-Voltage Pulse Transformer Model Parameters

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