Analysis of Temperature Distribution in Cast-resin Dry-type Transformers

Rahimpour, Ebrahim; Azizian, Davood

doi:10.1007/s00202-006-0008-4

Cited by 56 publications

(50 citation statements)

References 7 publications

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“…In the transient condition, the transferred thermal energy to each unit appears as an increase in the total energy and the unit behaves as an integrated capacitor [16]. If only one unit is selected in the windings and if the heat transfer from horizontal surfaces is neglected (heat transfer is assumed to occur in the radial direction) [2], the thermal behaviour of the winding and the cooling air (on top of the enclosure [27]) can be explained as following [15]: …”

Section: Rc Thermal Modelmentioning

confidence: 99%

“…As the usage of Askarel has been phased out, epoxy resins have proven themselves and are widely used in transformers. Therefore, a cast-resin dry-type transformer [1,2] has been developed as a nonflammable transformer. While a dry-type transformer lacks any cooling fluid and the life-time of insulating system depends on temperature, the thermal behaviour analysis of the dry-type transformer is crucially important.…”

Section: Introductionmentioning

confidence: 99%

“…Previously, the steady-state thermal modeling for different geometries of the dry-type transformer was introduced in [2][3][4][5][6][7][8]. Additionally, it is essential to study the transient thermal behaviour and the life-time of the dry-type transformers; thus, it is helpful to introduce some applicable dynamic models for this purpose.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A new cast-resin transformer thermal model based on recurrent neural networks

Azizian

Bigdeli

2017

Archives of Electrical Engineering

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Thermal modeling in the transient condition is very important for cast-resin dry-type transformers. In the present research, two novel dynamic thermal models have been introduced for the cast-resin dry-type transformer. These models are based on two artificial neural networks: the Elman recurrent networks (ELRN) and the nonlinear autoregressive model process with exogenous input (NARX). Using the experimental data, the introduced neural network thermal models have been trained. By selecting a typical transformer, the trained thermal models are validated using additional experimental results and the traditional thermal models. It is shown that the introduced neural network based thermal models have a good performance in temperature prediction of the winding and the cooling air in the cast-resin dry-type transformer. The introduced thermal models are more accurate for the temperature analysis of this transformer and they will be trained easily. Finally, the trained and validated thermal models are employed to evaluate the life-time and the reliability of a typical cast-resin dry-type transformer.

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Section: Rc Thermal Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A new cast-resin transformer thermal model based on recurrent neural networks

Azizian

Bigdeli

2017

Archives of Electrical Engineering

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“…In the small intervals, it is possible to approximate a problem by approximate expressions. As was shown in [14], the FDM is an efficient, accurate, and easily implemented method for thermal modeling of cast-resin dry-type transformers. As shown in Figure 3, in the FDM, windings are to be separated into small units, each represented by a node (each node is connected to the others through thermal resistances) [14].…”

Section: Thermal Modeling Using Fdmmentioning

confidence: 99%

“…As was shown in [14], the FDM is an efficient, accurate, and easily implemented method for thermal modeling of cast-resin dry-type transformers. As shown in Figure 3, in the FDM, windings are to be separated into small units, each represented by a node (each node is connected to the others through thermal resistances) [14]. The finite difference technique and extracting nodal equations are based on the rule of energy conversion: "heat generated in the unit is equivalent to heat transferred to other units".…”

Section: Thermal Modeling Using Fdmmentioning

confidence: 99%

Winding temperature prediction in split-winding traction transformer

Azizian¹

2016

Turk J Elec Eng & Comp Sci

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Incombustible features of resin make multiwinding dry-type transformers suitable for use in traction systems.Nevertheless, due to resin's heat transfer property and the special structure of traction transformers, temperature distribution in traction transformers is undesirable and it is essential to study its thermal behavior. In this research paper, the thermal behavior of traction transformers is modeled using the finite difference approach. After validating the model results (using the experimental results), the temperature distribution in a cast-resin traction transformer with split windings is calculated. The thermal behavior of the split-winding traction transformer is compared to the normal two-winding cast-resin transformer. A traction transformer usually feeds electronic converters; the converter system as a nonlinear load causes harmonics to appear in the winding currents. Thus, the thermal behavior of a traction transformer has been modeled in the presence of harmonic currents and their effects on temperature distribution have been discussed.

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Cast-Resin Dry-Type Transformer Thermal Modeling Based on Particle Swarm Optimization

Azizian

Bigdeli

2015

Soft Computing Applications

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Analysis of Temperature Distribution in Cast-resin Dry-type Transformers

Cited by 56 publications

References 7 publications

A new cast-resin transformer thermal model based on recurrent neural networks

A new cast-resin transformer thermal model based on recurrent neural networks

Winding temperature prediction in split-winding traction transformer

Cast-Resin Dry-Type Transformer Thermal Modeling Based on Particle Swarm Optimization

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