About the Project
Solid-state transformers (SSTs) are a key technology for the next generation of smart, flexible and low-carbon power networks. They will support renewable energy integration, electric vehicle charging, and data centres. Unlike conventional transformers, SSTs operate with high-frequency square or quasi-square voltage waveforms, fast switching edges and high-power density. These conditions create new reliability challenges, including local hot spots, excessive dielectric loss, partial-discharge…
risk, and uncertainty in lifetime.
This PhD project will develop an electro-thermal digital twin for the high-frequency transformers of SSTs. The project will investigate how square-wave excitation, harmonic content, parasitic effects, electromagnetic loss, heat generation interact with insulation degradation. The aim is to create a predictive framework that can identify early signs of insulation defects and support health assessment and lifetime prediction for SST high-frequency transformers.
At Manchester, the student will develop the physics core of the digital twin, combining square-wave electrical modelling, electromagnetic loss calculation, hot-spot temperature modelling and insulation stress analysis. The work will draw on Manchester’s strengths in transformer modelling, condition monitoring & interpretation, and asset management. At Tsinghua University, the student will carry out experimental validation using thermal-wave inspection, frequency-response testing and insulation-defect studies on high-frequency transformer insulation and potting structures.
