2021
DOI: 10.1002/tee.23327
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Electromagnetic‐Thermal Characteristics Analysis of Dry‐Type Core Reactor and Optimization Design Based on the Particle Swarm Algorithm

Abstract: In this paper, a fluid-thermal coupled finite element model is established based on the design parameters of dry-type core reactor, the detailed temperature distribution results are given, and the heat transfer process of the layer coils was analyzed. Meanwhile, the electromagnetic characteristics of core reactor have been analyzed, it shows that the structure parameters adjustment of layer coils have little effect on the inductance of reactor. Taking the metal conductor usage of coils as the optimization obje… Show more

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Cited by 7 publications
(4 citation statements)
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“…(3) Many optimization studies have been carried out to improve the structure parameters and the working performance of electrical devices. For example, to improve the efficiency of a generator, the numerical simulation and the response surface methodology (RSM) are combined to optimize the stator slot structure of the alternator [14]; the CFD and the genetic algorithm are adopted to optimize the mutual configuration of the winding and cooling channel, resulting in dramatic decrease in the hot spot temperature of the dry-type transformer [15]; the temperature distribution is obtained based on the design parameters of the dry-type reactor, and the amount of metal conductors in the coil is optimized by particle swarm optimization, thus verifying the correctness of the optimization method [16]. In addition, the orthogonal test method is also applied in combination with numerical simulation to optimize the structure of dry-type air core reactors [17,18].…”
Section: Introductionmentioning
confidence: 89%
“…(3) Many optimization studies have been carried out to improve the structure parameters and the working performance of electrical devices. For example, to improve the efficiency of a generator, the numerical simulation and the response surface methodology (RSM) are combined to optimize the stator slot structure of the alternator [14]; the CFD and the genetic algorithm are adopted to optimize the mutual configuration of the winding and cooling channel, resulting in dramatic decrease in the hot spot temperature of the dry-type transformer [15]; the temperature distribution is obtained based on the design parameters of the dry-type reactor, and the amount of metal conductors in the coil is optimized by particle swarm optimization, thus verifying the correctness of the optimization method [16]. In addition, the orthogonal test method is also applied in combination with numerical simulation to optimize the structure of dry-type air core reactors [17,18].…”
Section: Introductionmentioning
confidence: 89%
“…Then, the heat of the transformer oil near the winding and the core diffuses to the inner surface of the tank in a convective heat transfer way. At the same time, there is heat radiation between the winding and the core surface [14].…”
Section: Governing Equationmentioning
confidence: 99%
“…In [11,12], it studied the temperature field of the winding and core of power transformer respectively by establishing the finite element model. In [13,14], it analyzed the temperature field of dry-type transformer and piezoelectric transformer through finite element method, and verified the accuracy of the results through prototypical test. Therefore, by using the finite element method to simulate the heat transfer process inside the transformer, the flow-temperature field distribution inside the transformer can be more accurately obtained.…”
Section: Introductionmentioning
confidence: 99%
“…In Ref. [6], the temperature rise of the coils is equivalent to the sum of the fluid temperature rise and the fluid-solid temperature difference, and the analytical formula of temperature rise is given based on the finite difference method and experimental correlation formula, but the method is restricted by the wall temperature and heat flux distribution of the coils, which limits its practical application. In Ref.…”
Section: Introductionmentioning
confidence: 99%