The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $239,503 Project Grant to The University Of Kentucky Research Foundation under the NSF's Engineering grant program (CFDA 47.041). The purpose of the grant is to develop data-driven digital twin models for solid-state transformers (SSTs) to improve their reliability and enable wider adoption in future power systems and transportation electrification. Specifically, the project will establish an online health monitoring framework to predict and diagnose electrical faults in SST semiconductor modules and passive components. This aims to significantly enhance the safety and reliability of SSTs compared to conventional transformers. The research will also provide opportunities to apply artificial intelligence to power electronics curricula and produce skilled graduates for the power engineering field. The grant period runs from August 1, 2023 to July 31, 2026.
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