Aug 1, 2023 -- New NSF Project Awarded on Digital Twin Reliability Modeling of Solid-State Transformers

Aug 1, 2023 -- A new project on Digital Twin Reliability Modeling of Solid-State Transformers was recently awarded by the National Science Foundation (NSF). In this collaborative project, Dr. JiangBiao He serves as the PI at the University of Kentucky (Lead Organization), collaborating with Dr. Mohammed Agamy at the State University of New York at Albany (SUNY-Albany). This project starts on August 1, 2023, and will conclude on July 31, 2026. 

Solid-state transformer (SST) is a revolutionary technology that can dramatically improve the power density and efficiency of power transformers, in addition to providing flexible power flow control and power quality regulation. However, low reliability is a major drawback preventing further development and commercialization of SSTs. In this project, a portfolio of digital twin predictive reliability models will be developed which is expected to significantly improve the reliability of SSTs.