Suppressing magneto-mechanical vibrations and noise in magnetostriction variation for three-phase power transformers

Hsu, Chang Hung; Liu, Jui Jung; Fu, Ching‐Chou; Huang, Yanli; Chang, Chia‐Lun; Cheng, Shan-Jen

doi:10.1063/1.4919040

Cited by 10 publications

(3 citation statements)

References 11 publications

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“…Both need to consider the suspension of the core and post-processing of the measurement to correct the rigid body movement [9]. Direct measurement of noise is also carried out, allowing the comparison of different transformer cores [24] and the study of the physical parameters' influences, leading to an experience deduced noise computation equation [25].…”

Section: State Of the Artmentioning

confidence: 99%

Reduction of Power Transformer Core Noise Generation Due to Magnetostriction-Induced Deformations Using Fully Coupled Finite-Element Modeling Optimization Procedures

et al. 2017

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This work focuses on the development of an algorithm for the prediction of transformer core deformation, using a fully coupled magneto-mechanical approach. An imposed magnetic flux method coupled with finite element modeling is employed for the magnetic resolution. The constitutive law of the material is considered with a simplified multi-scale model (SMSM) describing both magnetic and magnetostrictive anisotropies. Magnetostriction is introduced as an input free strain of a mechanical problem to get the deformation and displacement fields. A 3D estimation of acoustic power is carried out to evaluate the global core deformation and acoustic noise level. The numerical process is applied to a three-phase transformer made of Grain Oriented (GO) FeSi core, leading to a set of noise estimation for different flux excitations and core geometries.

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Section: State Of the Artmentioning

confidence: 99%

Reduction of Power Transformer Core Noise Generation Due to Magnetostriction-Induced Deformations Using Fully Coupled Finite-Element Modeling Optimization Procedures

et al. 2017

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“…In order to reduce the transformer noise, this study develops a supporting tank (not discussed here) for the distribution transformers made of amorphous cores [8]. The noise level is limited to less than 55 dB, which is the same as for the silicon steel core.…”

Section: Pso For Low Noise and Core Lossesmentioning

confidence: 99%

“…The term A LT denotes the crosssectional area of the secondary (LV) winding, A HT denotes the cross-sectional area of the primary (HT) winding, and L LT and L HT denote the average rectangular lengths of the primary and secondary windings. The developed approach combining the PSO algorithm [8] and FEA is used to for design of the transformers subject to low noise condition. The design process is explained as follows:…”

Section: Pso For Low Noise and Core Lossesmentioning

confidence: 99%

Design of Transformer With High-Permeability Ferromagnetic Core and Strengthened Windings for Short-Circuit Condition

Hsieh

Hsu

et al. 2015

IEEE Trans. Magn.

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This paper studies the design of 1 MVA three-phase oil-immersed distribution transformers considering short-circuit testing (SCT) and its impact on the windings. To maintain the transformer function after the SCT, only an impedance variation within 5% is allowed. Therefore, in conjunction with the particle swarm optimization (PSO), a simulation-based optimal approach is developed for design of the distribution transformers. Finite element analysis (FEA) is used to work with the PSO for calculation of flux densities, costs, core losses and magnetostriction variations for the transformers under a prescribed noise level. Three transformer prototypes are then built using two types of amorphous cores and a conventional silicon steel core, respectively. The performance after the SCT is evaluated for the prototypes constructed. From the test results, it is found that the amorphous core is suitable for transformers in terms of lower noise level, core loss and magnetostriction variation.Index Terms-Amorphous transformer, particle swarm optimization, finite element analysis, core loss, noise level 0018-9464 (c)

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Numerical analysis and experimental research of vibration and noise characteristics of oil-immersed power transformers

et al. 2023

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Suppressing magneto-mechanical vibrations and noise in magnetostriction variation for three-phase power transformers

Cited by 10 publications

References 11 publications

Reduction of Power Transformer Core Noise Generation Due to Magnetostriction-Induced Deformations Using Fully Coupled Finite-Element Modeling Optimization Procedures

Reduction of Power Transformer Core Noise Generation Due to Magnetostriction-Induced Deformations Using Fully Coupled Finite-Element Modeling Optimization Procedures

Design of Transformer With High-Permeability Ferromagnetic Core and Strengthened Windings for Short-Circuit Condition

Numerical analysis and experimental research of vibration and noise characteristics of oil-immersed power transformers

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