scholarly journals Dealing with Data Uncertainty for Transformer Insulation System Health Index

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Rahman Azis Prasojo ◽  
Suwarno ◽  
A. Abu-Siada
Author(s):  
Hugo Rodriguez-Ignacio ◽  
Xose M. Lopez-Fernandez ◽  
Casimiro Álvarez-Mariño

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.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 81458-81467
Author(s):  
Tao Zhang ◽  
Shuo Wang ◽  
Chen Zhang ◽  
A. Abu-Siada ◽  
Linduo Li ◽  
...  

2009 ◽  
Author(s):  
G. Tanasescu ◽  
P.V. Notingher ◽  
L.M. Dumitran ◽  
I. Rusu ◽  
G. Batir

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