TY - GEN
T1 - Dynamic state estimation based monitoring of high frequency transformer
AU - Xie, Boqi
AU - Zhao, Dongbo
AU - Hong, Tianqi
AU - Huang, Alex Q.
AU - Guo, Zhicheng
AU - Lin, Yuzhang
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/11
Y1 - 2020/11/11
N2 - Solid-state transformer (SST) is considered as a promising option for interfacing between different voltage levels in power systems. High frequency transformer (HFT), as the core of SST, needs to be continuously monitored to ensure its operating health. This paper presents a dynamic state estimation based approach that monitors the health status such as winding deformation of HFT. The proposed method is constructed upon the detailed high-fidelity HFT device model. With the device model and given measurements, an overall measurement model of the monitored HFT is formulated. Then, a dynamic state estimation algorithm is performed directly on the measurement model, and a health status observer is designed to check the consistency between the measurements and the HFT device model. A use case is applied in this paper for demonstration and it substantiates the proposed method by checking the health status of the monitored HFT.
AB - Solid-state transformer (SST) is considered as a promising option for interfacing between different voltage levels in power systems. High frequency transformer (HFT), as the core of SST, needs to be continuously monitored to ensure its operating health. This paper presents a dynamic state estimation based approach that monitors the health status such as winding deformation of HFT. The proposed method is constructed upon the detailed high-fidelity HFT device model. With the device model and given measurements, an overall measurement model of the monitored HFT is formulated. Then, a dynamic state estimation algorithm is performed directly on the measurement model, and a health status observer is designed to check the consistency between the measurements and the HFT device model. A use case is applied in this paper for demonstration and it substantiates the proposed method by checking the health status of the monitored HFT.
KW - Dynamic state estimation
KW - High frequency transformer
KW - Solid-state transformer
KW - Transformer monitoring
KW - Winding deformation
UR - http://www.scopus.com/inward/record.url?scp=85099480509&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85099480509&partnerID=8YFLogxK
U2 - 10.1109/SmartGridComm47815.2020.9302978
DO - 10.1109/SmartGridComm47815.2020.9302978
M3 - Conference contribution
AN - SCOPUS:85099480509
T3 - 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020
BT - 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020
Y2 - 11 November 2020 through 13 November 2020
ER -