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February 2, 2026High VoltageOpen Access

An Efficient Method for Transient Temperature Calculation in Oil Natural Transformers Based on the Time‐Space Proper Orthogonal Decomposition

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Authors

HLHaijuan LanSouth China University of TechnologyTWTang WenhuZZZeyi ZhangSouth China University of Technology

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Implication

This method improves transient temperature prediction in oil transformers, indicating enhanced computational efficiency.

Key Points

  • The study aims to develop a reduced-order model for predicting transient temperature rise in oil transformers.
  • Utilizes proper orthogonal decomposition (POD) for data reduction
  • Integrates time and space POD with Galerkin methods
  • Employs data from a full-order simulation model
  • Focuses on various loading conditions for temperature prediction
  • Achieves significant reduction in computation time compared to traditional models
  • Maintains high accuracy with fewer snapshot samples
  • Validates the method through examples demonstrating computational efficiency

Cite This Study

Lan et al. (2026) studied this question.

synapsesocial.com/papers/6980fff5c1c9540dea812f38https://doi.org/10.1049/hve2.70146
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