Shape Optimization of Coils and Cooling Ducts in Dry-Type Transformers Using Computational Fluid Dynamics and Genetic Algorithm

Smołka, Jacek; Nowak, Andrzej J.

doi:10.1109/tmag.2011.2109731

Cited by 44 publications

(24 citation statements)

References 13 publications

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“…Then, the proportionality factor is defined as: k x ¼ x x 0 . Thus, the proportionality factor of metal mass, which can be computed according to Equation (13), is taken to describe the electromagnetic efficiency factor.…”

Section: Electromagnetic Efficiency Of Air-core Coilmentioning

confidence: 99%

Research on electromagnetic efficiency optimization in the design of air-core coils

Yuan

Pan

et al. 2014

Int. Trans. Electr. Energ. Syst.

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Summary In this paper, the electromagnetic efficiency factor is defined to describe the utilization rate of metal conductors in air‐core coils. The geometry‐electromagnetic character and the thermal condition of the coil are coupled to describe the electromagnetic efficiency of the air‐core coils. The geometry‐electromagnetic character is deduced form the inductance computation formula, while the thermal functions are given according to the “Uniformed electrical current density condition” and the “uniformed temperature rise” condition. Curves that reflect the electromagnetic efficiency factor are given while the thermal condition is considered as the mentioned two conditions. The former thermal condition is simpler and is proved to be suitable for midget air‐core coils without complex heat transfer structure or coils with pulse current. While, the latter is proved to be with higher accuracy and can be wildly used in the optimization design of air‐core power reactors. Copyright © 2014 John Wiley & Sons, Ltd.

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Section: Electromagnetic Efficiency Of Air-core Coilmentioning

confidence: 99%

Research on electromagnetic efficiency optimization in the design of air-core coils

Yuan

Pan

et al. 2014

Int. Trans. Electr. Energ. Syst.

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“…Fluid flow and temperature distribution within a transformer are governed by three conservation equations. These can be solved simultaneously with a semi-implicit method for pressure-linked equations (SIMPLE) algorithm, which uses a combination of continuity and momentum equations in order to derive an equation for pressure correction [5,13,14]:…”

Section: C O C W P O T I T O T R I R O R H a T T Dt Mc H A T T H A mentioning

confidence: 99%

Multi-physics Analysis for Temperature Rise Prediction of Power Transformer

Ahn¹,

Kim²,

Oh³

et al. 2014

Journal of Electrical Engineering and Technology

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-In this paper, a method for multi-physics analysis of the temperature-dependent properties of an oil-immersed transformer is discussed. To couple thermal fields with electromagnetic and fluid fields, an algorithm employing a user defined function (UDF) is proposed. Using electromagnetic analysis, electric power loss dependent on temperature rise is calculated; these are used as input data for multi-physics analysis in order to predict the temperature rise. A heat transfer coefficient is applied only at the outermost boundary between transformer and the atmosphere in order to reduce the analysis region. To verify the validity of the proposed method, the predicted temperature rises in high-voltage (HV) and low-voltage (LV) windings and radiators were compared with the experimental values.

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“…In [8][9][10][11], the genetic algorithm, improved genetic algorithm, and particle swarm optimization algorithm are applied in the design of the reactor; In [12,13], the finite element method is used to improve the utilization ratio of metal conductor, nevertheless, a large amount of computation and long optimization times are needed in order to obtain the optimal parameters of the reactor. Therefore, the optimization methods mentioned above cannot be widely used.…”

Section: Introductionmentioning

confidence: 99%

Thermal and Electromagnetic Combined Optimization Design of Dry Type Air Core Reactor

Yuan

Chen

et al. 2017

Energies

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Abstract:In this paper, taking the minimum metal conductor usage of an air core reactor as optimization goal, the influence of air ducts width and encapsulation number on thermal efficiency and electromagnetic efficiency are analyzed. Combined with the equation constraint conditions for maximum temperature rise conservation, inductance conservation and structure function of reactor considering the change of air ducts width and encapsulation number, the thermal and electromagnetic combined optimization curves are formed, and design results are achieved based on the initial design parameters. Meanwhile, the temperature field simulation model of the reactor is established and the results verify the correctness of the optimization method. According to the design results, the proportionality factor of metal conductor usage is only 0.61 compared with the initial design parameters of the reactor, which shows that the proposed comprehensive optimization method can significantly reduce conductor usage, improving the metal conductor utilization ratio.

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Shape Optimization of Coils and Cooling Ducts in Dry-Type Transformers Using Computational Fluid Dynamics and Genetic Algorithm

Cited by 44 publications

References 13 publications

Research on electromagnetic efficiency optimization in the design of air-core coils

Research on electromagnetic efficiency optimization in the design of air-core coils

Multi-physics Analysis for Temperature Rise Prediction of Power Transformer

Thermal and Electromagnetic Combined Optimization Design of Dry Type Air Core Reactor

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