TY - GEN
T1 - Learning-based Frequency Synchronization with NTP for Low-cost Phasor Measurement Units
AU - Park, Heejae
AU - Wee, Seongryool
AU - Park, Laihyuk
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/1/13
Y1 - 2021/1/13
N2 - Synchronization and high-resolution measurement is essential in power gird. In this respect, low cost phasor measurement units (PMUs) replacing global positioning system (GPS) will be rapidly deployed in the grid. This cost reduction can be achieved by simple network time protocol (NTP). However, previous researches do not guarantee accuracy of synchronization since network delay variation is not taken into account. In this paper, a learning based frequency synchronization is proposed aiming at increasing the synchronization accuracy by learning network delay variation.
AB - Synchronization and high-resolution measurement is essential in power gird. In this respect, low cost phasor measurement units (PMUs) replacing global positioning system (GPS) will be rapidly deployed in the grid. This cost reduction can be achieved by simple network time protocol (NTP). However, previous researches do not guarantee accuracy of synchronization since network delay variation is not taken into account. In this paper, a learning based frequency synchronization is proposed aiming at increasing the synchronization accuracy by learning network delay variation.
KW - long short term memory frequency synchronization
KW - network time protocol
KW - Phasor measurement unit
UR - https://www.scopus.com/pages/publications/85100750568
U2 - 10.1109/ICOIN50884.2021.9333851
DO - 10.1109/ICOIN50884.2021.9333851
M3 - Conference contribution
AN - SCOPUS:85100750568
T3 - International Conference on Information Networking
SP - 805
EP - 807
BT - 35th International Conference on Information Networking, ICOIN 2021
PB - IEEE Computer Society
T2 - 35th International Conference on Information Networking, ICOIN 2021
Y2 - 13 January 2021 through 16 January 2021
ER -