Effect of loads and other key factors on oil-transformer ageing: Sustainability benefits and challenges

R Godina, EMG Rodrigues, JCO Matias, JPS Catalão - Energies, 2015 - mdpi.com
Transformers are one of the more expensive pieces of equipment found in a distribution
network. The transformer's role has not changed over the last decades. With simple …

SPICE-Aided Models of Magnetic Elements—A Critical Review

K Górecki, K Detka - Energies, 2023 - mdpi.com
This article analyzes the problem of modeling the properties of such magnetic elements as
inductors, coupled inductors, and transformers using the SPICE software (version 17.2) …

Adaptive power transformer lifetime predictions through machine learning and uncertainty modeling in nuclear power plants

JI Aizpurua, SDJ McArthur, BG Stewart… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
The remaining useful life (RUL) of transformer insulation paper is largely determined by the
winding hot-spot temperature (HST). Frequently the HST is not directly monitored and it is …

[HTML][HTML] Magnetic-thermal analysis of distribution transformer: Validation via optical fiber sensors and thermography

A Abdali, A Abedi, H Masoumkhani, K Mazlumi… - International Journal of …, 2023 - Elsevier
Thermal condition monitoring of distribution transformers (DTs) as the most important and
expensive equipment of the power grid is undeniable, and by accurate investigation of its …

Thermal management of a distribution transformer: An optimization study of the cooling system using CFD and response surface methodology

L Raeisian, H Niazmand… - International Journal of …, 2019 - Elsevier
In this paper, a numerical scheme has been developed to examine the effective parameters
on thermal management of distribution transformers and subsequently to optimize their …

Novel hotspot temperature prediction of oil-immersed distribution transformers: An experimental case study

A Abdali, A Abedi, K Mazlumi, A Rabiee… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Distribution transformers (DTs) are deemed fundamental and high-priced equipment for
power grids, and their failure influences grid reliability. The continuity of DT operation highly …

A novel rule-based evolving fuzzy system applied to the thermal modeling of power transformers

KSTR Alves, EP de Aguiar - Applied Soft Computing, 2021 - Elsevier
Big Data advancements motivate researchers to develop and improve intelligent models to
deal efficiently and effectively with data. In this scenario, time series forecasting obtains even …

Comprehensive comparative analysis of Metal-Oxide nanoadditives impacts on Oil-Filled Finemet and Vitroperm alloy core transformers HST concerning nanofluid …

Z Taghikhani, MA Taghikhani… - Energy Conversion and …, 2022 - Elsevier
In this paper, a precious analysis is dedicated to thermal properties of three metal oxide-
based nanofluid samples as well as their overall effects on a 630 kVA oil natural-air natural …

Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation

HA Illias, W Zhao Liang - PLoS One, 2018 - journals.plos.org
Early detection of power transformer fault is important because it can reduce the
maintenance cost of the transformer and it can ensure continuous electricity supply in power …

A novel model for thermal behavior prediction of oil-immersed distribution transformers with consideration of solar radiation

AA Taheri, A Abdali, A Rabiee - IEEE Transactions on Power …, 2019 - ieeexplore.ieee.org
Monitoring the insulation status of a transformer requires the availability of accurate
information of the oil temperature at any moment. Considering the importance of oil …