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September 10, 2025AIP AdvancesOpen Access

Fast prediction method for transient temperature rise of oil immersed power transformer windings based on extended dynamic mode decomposition

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Authors

KLKexin LiuYLYunpeng LiuGLGang Liu

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Overview

This computational strategy improves hot-spot temperature estimation and reduces errors in oil-immersed transformers.

Key Points

  • The proposed method significantly reduces computational errors in predicting temperature rise in transformers.
  • With a maximum hot-spot error of about 0.12 K, this method outperforms traditional Dynamic Mode Decomposition.
  • A two-dimensional simulation model validated the proposed strategy, confirming its accuracy in transient temperature calculations.
  • The computation time was reduced dramatically to only 0.14 seconds per time step, ensuring efficiency in simulations.

Cite This Study

Liu et al. (2025) studied this question.

synapsesocial.com/papers/68c1ae7f54b1d3bfb60e6eb6https://doi.org/10.1063/5.0273336
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  1. 1Fast Calculation of Thermal-Fluid Coupled Transient Multi-Physics Field in Transformer Based on Extended Dynamic Mode Decomposition2025
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  4. 4Research on the Dynamic Simulation Process of Hot Spot Temperature Rise of Oil-immersed Transformer2024 · 3 citations
  5. 5Online-monitoring-oriented prediction of transformer oil temperature using VMD-CEEMDAN and hybrid temporal learning2026