Large-Shell-Type Transformers: Aspects of Design

López‐Fernández, Xosé M.

doi:10.1201/b12275-6

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…The SM is the parameter on which the objective function mathematically acts for searching an optimal candidate for the geometrical and physical constraints selected by the designer. The SM is calculated as the relation between the admissible dielectric strength, which is the maximum value of low probability of partial discharge (PD) inception, and the average electrical stress calculated along a considered element on insulation system structures (Lopez-Fernandez et al , 2004). The admissible dielectric strength of the oil was chosen from the Weidmann design curves (Moser et al , 1979), which are extended to determine the dielectric strength of the long oil gaps as it is shown in Ziomek et al (2011).…”

Section: Proposed Methodologymentioning

confidence: 99%

A methodology for the optimized design of power transformer insulation system

Rodriguez-Ignacio

López‐Fernández

Alvarez-Marino³

2018

COMPEL

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Purpose The purpose of this paper is to present a methodology based on an optimizer linked with electric finite element method (FEM) for automating the optimized design of power transformer insulation system structures. Design/methodology/approach The proposed methodology combines two stages to obtain the optimized design of transformer insulation system structures. First, an analytical calculation is carried out with the optimizer to search a candidate solution. Then, the candidate solution is numerically checked in detail to validate its consistency. Otherwise, these two steps are iteratively repeated until the optimizer finds a candidate solution according to the objective function. Findings The solutions found applying the proposed methodology reduce the inter-electrode distances compared to those insulation designs referenced in the literature for the same value of safety margin. Originality/value The proposed methodology explores a wide range of insulation system structures in an automated way which is not possible to do with the classical trial-and-error approach based on personal expertise.

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Section: Proposed Methodologymentioning

confidence: 99%