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<p>To address the inefficiency of conventional temperature rise tests for dry-type transformers in box substations, this study proposes a closed-loop “Standard-Experiment-Simulation-Optimization” methodology. An electromagnetic‑thermal coupled model was built, calibrated with field test data. The simulation revealed a saturated exponential growth pattern of hotspot temperature rise, verified experimentally. Based on this, additional thermocouples were placed beyond standard positions, enabling earlier and more accurate hotspot measurement. A predictive model using the first‑five‑hour data was derived to estimate steady‑state temperature, rise value, and required test duration. This approach reduces testing time and provides a reusable reference for improving hotspot detection accuracy.</p>

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Research on transformer temperature rise detection and optimization method based on multi-physical field coupling

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月2日

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  • Hao Zhao,
  • Yu Zhang,
  • Shan Cheng

摘要

To address the inefficiency of conventional temperature rise tests for dry-type transformers in box substations, this study proposes a closed-loop “Standard-Experiment-Simulation-Optimization” methodology. An electromagnetic‑thermal coupled model was built, calibrated with field test data. The simulation revealed a saturated exponential growth pattern of hotspot temperature rise, verified experimentally. Based on this, additional thermocouples were placed beyond standard positions, enabling earlier and more accurate hotspot measurement. A predictive model using the first‑five‑hour data was derived to estimate steady‑state temperature, rise value, and required test duration. This approach reduces testing time and provides a reusable reference for improving hotspot detection accuracy.