TY - GEN
T1 - Communication Restoration and Fault Location in Distribution System by UAVs
AU - Zhang, Haochen
AU - Chen, Chen
AU - Liu, Ruihuan
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The orderly and rapid restoration of the distribution system after disasters relies on the accuracy and reliability of fault identification, while disasters often damage communication links resulting in failure to report fault information in a timely manner. This paper proposes a two-stage communication restoration and fault location strategy, and adopts a method to construct a wireless emergency communication link between the remote fault indicator (RFI) and the distribution operating center to realize the communication restoration and real-time transmission of current information by using the unmanned aerial vehicles (UAVs) emergency communication in the first stage. Then, the fault location method according to the fault information of the RFIs is developed and takes into account the RFIs failures and malfunction in the second stage. The proposed method is verified the accuracy and validity by applying it to the IEEE 33-node distribution system.
AB - The orderly and rapid restoration of the distribution system after disasters relies on the accuracy and reliability of fault identification, while disasters often damage communication links resulting in failure to report fault information in a timely manner. This paper proposes a two-stage communication restoration and fault location strategy, and adopts a method to construct a wireless emergency communication link between the remote fault indicator (RFI) and the distribution operating center to realize the communication restoration and real-time transmission of current information by using the unmanned aerial vehicles (UAVs) emergency communication in the first stage. Then, the fault location method according to the fault information of the RFIs is developed and takes into account the RFIs failures and malfunction in the second stage. The proposed method is verified the accuracy and validity by applying it to the IEEE 33-node distribution system.
KW - communication restoration
KW - fault location
KW - remote fault indicator
KW - resilience
KW - unmanned aerial vehicles
UR - https://www.scopus.com/pages/publications/85194190435
U2 - 10.1109/EI259745.2023.10512384
DO - 10.1109/EI259745.2023.10512384
M3 - 会议稿件
AN - SCOPUS:85194190435
T3 - 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023
SP - 2941
EP - 2945
BT - 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023
Y2 - 15 December 2023 through 18 December 2023
ER -
