2015
DOI: 10.1016/j.jare.2014.08.003
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A performance-oriented power transformer design methodology using multi-objective evolutionary optimization

Abstract: Transformers are regarded as crucial components in power systems. Due to market globalization, power transformer manufacturers are facing an increasingly competitive environment that mandates the adoption of design strategies yielding better performance at lower costs. In this paper, a power transformer design methodology using multi-objective evolutionary optimization is proposed. Using this methodology, which is tailored to be target performance design-oriented, quick rough estimation of transformer design s… Show more

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Cited by 30 publications
(20 citation statements)
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“…The application of these oversimplified analytical models easily leads to erroneous design rules and practices which can easily misleads the non-experienced designer in the case of a special application or produces non-economical designs after the changing of the conditions. The interest for fast and accurate analytical methods is not decreased after the spreading of the computer based numerical solutions [79].…”
Section: Analytical Cost Optimization Methodsmentioning
confidence: 99%
“…The application of these oversimplified analytical models easily leads to erroneous design rules and practices which can easily misleads the non-experienced designer in the case of a special application or produces non-economical designs after the changing of the conditions. The interest for fast and accurate analytical methods is not decreased after the spreading of the computer based numerical solutions [79].…”
Section: Analytical Cost Optimization Methodsmentioning
confidence: 99%
“…A multi-objective optimization [21,22] approach is used to establish the planning model of on-load capacity regulating distribution transformers in urban distribution networks after electric energy replacement. Therefore, a normalized weighing of the above indexes is implemented to obtain a comprehensive benefit index F which is taken as objective function of the planning model:…”
Section: Planning Model Of On-load Capacity Regulating Distribution Tmentioning
confidence: 99%
“…In electrical transformers, iron losses are important for thermal designs and electromagnetic analyses . In the past few contracts, we have witnessed rapid changes in the field of transformer design and manufacturing . As a general rule, increasing flux density by 1% increases losses by approximately 2% .…”
Section: Introductionmentioning
confidence: 99%