Data driven transformer thermal model for condition monitoring
A Doolgindachbaporn, G Callender… - … on Power Delivery, 2021 - ieeexplore.ieee.org
Condition monitoring of power transformers, which are key components of electrical power
systems, is essential to identify incipient faults and avoid catastrophic failures. In this paper …
systems, is essential to identify incipient faults and avoid catastrophic failures. In this paper …
Prediction of the degree of polymerization in transformer cellulose insulation using the feedforward backpropagation artificial neural network
The life expectancy of power transformers is primarily determined by the integrity of the
insulating oil and cellulose paper between the conductor turns, phases and phase to earth …
insulating oil and cellulose paper between the conductor turns, phases and phase to earth …
On-line monitoring of maximum temperature and loss distribution of a medium frequency transformer using artificial neural networks
Losses and maximum temperature are important indicators of the health status of the
medium-frequency magnetic components. Both the losses and the maximum temperature …
medium-frequency magnetic components. Both the losses and the maximum temperature …
A temperature calculation method of oil immersed transformer considering delay effects and multiple environmental factors
R Ni, J Chen, C Yang, C Li, R Qiu, Z Liu, R Li… - Electric Power Systems …, 2022 - Elsevier
In the traditional transformer temperature calculation methods, the hot spot temperature
(HST) is obtained by calculating the oil temperature rise, winding temperature rise, and then …
(HST) is obtained by calculating the oil temperature rise, winding temperature rise, and then …
Forecasting thermal parameters for ultra‐high voltage transformers using long‐and short‐term time‐series network with conditional mutual information
W Lin, X Miao, J Chen, S Xiao, Y Lu… - IET Electric Power …, 2022 - Wiley Online Library
Precise forecasting of the thermal parameters is a critical factor for the safe operation and
fault incipient warning of the ultra‐high voltage (UHV) transformers. In this work, a novel …
fault incipient warning of the ultra‐high voltage (UHV) transformers. In this work, a novel …
[HTML][HTML] Grey-box modeling for hot-spot temperature prediction of oil-immersed transformers in power distribution networks
EMV Blomgren, F D'Ettorre, O Samuelsson… - … Energy, Grids and …, 2023 - Elsevier
Power transformers are one of the most costly assets in power grids. Due to increasing
electricity demand and levels of distributed generation, they are more and more often loaded …
electricity demand and levels of distributed generation, they are more and more often loaded …
Inversion detection of transformer transient hot spot temperature
J Ruan, Y Deng, YU Quan, R Gong - IEEE Access, 2021 - ieeexplore.ieee.org
This paper proposes an inversion method to estimate a 10 kV oil-immersed transformer
transient hot spot temperature (HST). A set of transient feature quantities which can reflect …
transient hot spot temperature (HST). A set of transient feature quantities which can reflect …
Novel and Simplified Procedure to Test Immunity of Low-Power Voltage Transformers
International technical committees put considerable efforts into the writing process of
standards. They always try to find a tradeoff between the rigorous scientific requirements …
standards. They always try to find a tradeoff between the rigorous scientific requirements …
Artificial neural network-based cooling capacity estimation of various radiator configurations for power transformers operated in ONAN mode
Power transformers submerged in oil are universally acknowledged as very useful elements
in electrical power networks. A fraction of the electrical energy involved in the conversion …
in electrical power networks. A fraction of the electrical energy involved in the conversion …
Transformer hot spot temperature estimation through adaptive neuro fuzzy inference system approach
ET Mharakurwa, DW Gicheru - Heliyon, 2024 - cell.com
Transformer performance and efficiency can be enhanced by effectively address the
properties of its insulation system. The power transformer insulation system weakens as a …
properties of its insulation system. The power transformer insulation system weakens as a …