TY - GEN
T1 - Distribution System Restoration Using Dynamic Microgrids with Inverter-Interfaced Black-Start Generation Units
AU - Men, Yuxi
AU - Du, Yuhua
AU - Lu, Xiaonan
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Distribution system resiliency is challenged by severe blackouts caused by natural disasters. In face of total blackouts, the system can be restored by leveraging local inverter-interfaced black-start distributed generations (BSDGs). This paper proposes a distributed control framework along with the corresponding operation modes for the distribution system restoration in the context of dynamic microgrids (MGs). The effectiveness of the proposed work is also verified in a multi-inverter test system.
AB - Distribution system resiliency is challenged by severe blackouts caused by natural disasters. In face of total blackouts, the system can be restored by leveraging local inverter-interfaced black-start distributed generations (BSDGs). This paper proposes a distributed control framework along with the corresponding operation modes for the distribution system restoration in the context of dynamic microgrids (MGs). The effectiveness of the proposed work is also verified in a multi-inverter test system.
KW - black-start distributed generations (BSDGs)
KW - distribution system restoration
KW - dynamic microgrids (MGs)
UR - http://www.scopus.com/inward/record.url?scp=85142063663&partnerID=8YFLogxK
U2 - 10.1109/PEDG54999.2022.9923297
DO - 10.1109/PEDG54999.2022.9923297
M3 - 会议稿件
AN - SCOPUS:85142063663
T3 - 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2022
BT - 2022 IEEE 13th International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE International Symposium on Power Electronics for Distributed Generation Systems, PEDG 2022
Y2 - 26 June 2022 through 29 June 2022
ER -