Residual-based Attention Physics-informed Neural Networks for Spatio-Temporal Ageing Assessment of Transformers Operated in Renewable Power Plants

Understand

Transformers are crucial for reliable and efficient power system operations, particularly in supporting the integration of renewable energy.

• Effective monitoring of transformer health is critical to maintain grid stability and performance.
• Thermal insulation ageing is a key transformer failure mode, which is generally tracked by monitoring the hotspot temperature (HST).
• However, HST measurement is complex, costly, and often estimated from indirect measurements.