Study of toroidal transformers by means of 2D approaches

Prieto, R.; Cobos, J.A.; Bataller, V.; García, O.; Uceda, J.

doi:10.1109/pesc.1997.616786

Cited by 16 publications

(7 citation statements)

References 5 publications

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“…For instance, Figure 1 shows the measured data and the fitted curve for M5 CRGO Steel. Solving three-dimensional (3-D) models causes several problems such as very long simulation time and needs great amounts of computer resources (RAM, hard disk) [15]. Especially exact 3-D modeling of the core with its laminations becomes impossible.…”

Section: Fem Modeling and Loss Calculation Of Corementioning

confidence: 99%

“…Especially exact 3-D modeling of the core with its laminations becomes impossible. Considering these problems, engineers and transformer designers try to replace the 3-D core model with some two-dimensional (2-D) simulations [1,[14][15][16]. In this paper 2-D modeling of the core is used which is justified in commercial programs.…”

Section: Fem Modeling and Loss Calculation Of Corementioning

confidence: 99%

“…Due to the fast rise in speed of computers, numerical methods have become more attractive in the last decades. These methods predict no-load losses by solving Maxwell Equations with numerical techniques such as Finite Element Methods (FEM) or Finite Difference (FD) [1,14,15]. The main problems of these methods are high calculation time and inability to model all various components of core losses [5].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Power Transformer No-Load Loss Prediction with FEM Modeling and Building Factor Optimization

Hajipour¹,

Rezaei²,

Vakilian³

et al. 2011

JEMAA

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Estimation of power transformer no-load loss is a critical issue in the design of distribution transformers. Any deviation in estimation of the core losses during the design stage can lead to a financial penalty for the transformer manufacturer. In this paper an effective and novel method is proposed to determine all components of the iron core losses applying a combination of the empirical and numerical techniques. In this method at the first stage all computable components of the core losses are calculated, using Finite Element Method (FEM) modeling and analysis of the transformer iron core. This method takes into account magnetic sheets anisotropy, joint losses and stacking holes. Next, a Quadratic Programming (QP) optimization technique is employed to estimate the incomputable components of the core losses. This method provides a chance for improvement of the core loss estimation over the time when more measured data become available. The optimization process handles the singular deviations caused by different manufacturing machineries and labor during the transformer manufacturing and overhaul process. Therefore, application of this method enables different companies to obtain different results for the same designs and materials employed, using their historical data. Effectiveness of this method is verified by inspection of 54 full size distribution transformer measurement data

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Section: Fem Modeling and Loss Calculation Of Corementioning

confidence: 99%

Section: Fem Modeling and Loss Calculation Of Corementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Power Transformer No-Load Loss Prediction with FEM Modeling and Building Factor Optimization

Hajipour¹,

Rezaei²,

Vakilian³

et al. 2011

JEMAA

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show abstract

“…Easy to use methods of electromagnetic modelling can reduce the complexity and computation time of multi-winding transformers design. Although 2D and 3D finite element methods (FEM) have been applied for asymmetrical and complex magnetic structures [8]- [10] they require large amount of computation time, and thus are difficult to use in design optimisation, which needs a great number of field solutions to reach an optimum. On the other hand, the reluctance network model (RNM) has been used successfully in analysis and modelling of flux distribution in various applications like power transformers [11] and electrical machines [12].…”

Section: Introductionmentioning

confidence: 99%

Modeling of magnetic flux in multi-winding toroidal core high frequency transformers using 3D reluctance network model

Jafari

Malekjamshidi

Islam

et al. 2015

2015 IEEE 11th International Conference on Power Electronics and Drive Systems

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Multi-winding transformers as main part of multiport phase shift converters play an important role in integration of renewable energy sources, storage device and loads. The range of power transfer in multi-port phase shift converters particularly depends on the leakage inductance of multi-winding transformer. Numerical analysis such as 2D and 3D finite element methods have been widely used in analysis of magnetic structures and estimation of leakage inductance although their computation time is the main issue especially in online and iterative design processes. In this paper, a 3D reluctance network is introduced for modelling of magnetic flux distribution and estimation of self and leakage inductances of multi-winding toroidal core high frequency transformer. The proposed network is formed in cylindrical coordination, according to the geometrical shape of toroidal core. The effective factors on accuracy of model and computation time are studied and the results are compared with experimentally measured parameters to verify the accuracy of model.

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“…As can be seen from the waveforms, the output current ripple is exactly the same in both converters, but the multilevel operation at the input side of the parallel multicell gives a significant reduction of the current ripple. In recent years, the interest for parallel multicell converters has grown, and this is also due to the possibility to couple the inductors [4,5,6,7]. Coupling the inductors to form an InterCell Transformer (ICT) does not modify the output current, but it reduces the current ripple in the windings and the flux swing in some region of the core.…”

Section: Introductionmentioning

confidence: 99%

Parallel multicell converters for high current: Design of intercell transformers

Meynard¹,

Laplace²,

Forest³

2010

2010 IEEE International Conference on Industrial Technology

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Duality rules show that the multilevel output voltage of series multicell converters transposes in the form of a multilevel input current in parallel converters. However the duality of these families of converter is only partial and parallel converters offer an extra advantage which is multilevel output behavior. When the inductors are coupled together, it is even possible to reduce the ripple of internal quantities, i.e. individual cell currents. The magnetic components at the heart of these converters obey very particular rules and need a specific design procedure. The leakage inductance of this component plays an important part in this design and because it involves flux trajectories in the air it is difficult to predict its value and optimize the design. It is also required to evaluate the core losses, the copper losses and the heat exchange surface to determine which number of cells should be used to minimize total weight. Such a procedure is described and used to compare designs with coupled and uncoupled inductors.

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Study of toroidal transformers by means of 2D approaches

Cited by 16 publications

References 5 publications

Power Transformer No-Load Loss Prediction with FEM Modeling and Building Factor Optimization

Power Transformer No-Load Loss Prediction with FEM Modeling and Building Factor Optimization

Modeling of magnetic flux in multi-winding toroidal core high frequency transformers using 3D reluctance network model

Parallel multicell converters for high current: Design of intercell transformers

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