R. Villarroel

TL;DR: In this paper, a mathematical model is presented, which allows us to study the moisture dynamics in a transformer, considering a multi-physical approach incorporating a thermal module and a moisture dynamic module that makes it possible to analyze the behavior of the moisture for a certain load profile.

TL;DR: In this article, a basic particle swarm optimization (PSO) method was used as an alternative to the previous optimization process by GAs was implemented and evaluated, which reduced the time spent in the determination of the moisture diffusion coefficient.

TL;DR: In this paper, an analysis on the moisture dynamics in transformers insulated with natural esters is presented, where the main parameters that influence the moisture distribution between oil and paper are obtained either for the case of an ester or a mineral oil being used as insulating fluids.

TL;DR: In this paper, drying experiments were carried out on impregnated and non-impregnated paper and on pressboard samples, taking into account the characteristics of the tested samples, and the simulation results were compared with the simulated ones and the accuracy and the range of application of the various coefficients were determined.

TL;DR: In this article, diffusion coefficients for transformer pressboard insulation impregnated with different natural esters were proposed and validated with experimental data and compared with those of mineral oil, and an optimization process based on particle swarm and a finite element model were used to derive the coefficients from experimental data.