A fast computational method for internal temperature field in Oil-Immersed power transformers

G Liu, W Hu, S Hao, C Gao, Y Liu, W Wu, L Li - Applied Thermal …, 2024 - Elsevier
In order to improve the computational efficiency of the steady-state temperature rise of oil-
immersed power transformer windings, this paper proposes a temperature field reduced …

[HTML][HTML] Thermal-Hydraulic Network Model for steady-state thermal analysis and design of power transformer magnetic cores

LH Medeiros, MM Oliveira, CEG Falcão… - Case Studies in Thermal …, 2024 - Elsevier
The safe operation of power transformers is related to their internal temperatures, which
increase due to the heat generated in their active part. The core is subjected to hysteresis …

Residual-based attention Physics-informed Neural Networks for spatio-temporal ageing assessment of transformers operated in renewable power plants

I Ramirez, J Pino, D Pardo, M Sanz, L del Rio… - … Applications of Artificial …, 2025 - Elsevier
Transformers are crucial for reliable and efficient power system operations, particularly in
supporting the integration of renewable energy. Effective monitoring of transformer health is …

Probabilistic feature selection for improved asset lifetime estimation in renewables. Application to transformers in photovoltaic power plants

I Ramirez, JI Aizpurua, I Lasa, L Del Rio - Engineering Applications of …, 2024 - Elsevier
The increased penetration of renewable energy sources (RESs) as an effective mechanism
to reduce carbon emissions leads to an increased weather dependency for power and …

A Comprehensive Review on Artificial Intelligence-based Applications for Transformer Thermal Modeling: Background and Perspectives

JP da Costa Souza, P Picher, A Zinflou, I Fofana… - IEEE …, 2024 - ieeexplore.ieee.org
The power transformer is a critical component in any transmission and distribution grid. This
vital machine faces new thermal stresses arising from challenges related to energy transition …

Proof of the concept of detailed dynamic thermal-hydraulic network model of liquid immersed power transformers

M Novkovic, Z Radakovic, F Torriano, P Picher - Energies, 2023 - mdpi.com
The paper presents a physics-based method to calculate in real time the distribution of
temperature in the active part of liquid immersed power transformers (LIPT) in a transient …

Load Margin Assessment of Power Systems Using Physics-Informed Neural Network with Optimized Parameters

MEC Bento - Energies, 2024 - mdpi.com
Challenges in the operation of power systems arise from several factors such as the
interconnection of large power systems, integration of new energy sources and the increase …

Transformer fault warning based on spectral clustering and decision tree

H Liu, J Chen, J Li, L Shao, L Ren, L Zhu - Electronics, 2023 - mdpi.com
The insufficient amount of sample data and the uneven distribution of the collected data
across faults are key factors limiting the application of machine learning in power …

Soft sensor modeling for 3D transient temperature field of large-scale aluminum alloy workpieces based on multi-loss consistency optimization PINN

L Shen, Z Chen, X Wang, J He - Sensors, 2023 - mdpi.com
Uniform temperature distribution during quenching thermal treatment is crucial for achieving
exceptional mechanical and physical properties of alloy materials. Accurate and rapid …

Application of Dynamic Detailed Thermal Hydraulic Model on a Transformer with zig-zag winding scale model

M Novkovic, F Torriano, P Picher… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The paper presents the detailed dynamic thermal-hydraulic network model (THNM) for liquid-
immersed power transformers (LIPT). Detailed static THNMs are prevalent in thermal design …