TY - GEN
T1 - Stable coordination of multiple PMSGs in an islanded DC microgrid
T2 - 56th IEEE Annual Conference on Decision and Control, CDC 2017
AU - Kou, Peng
AU - Liang, Deliang
AU - Wang, Junmin
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/28
Y1 - 2017/6/28
N2 - For permanent magnet synchronous generators (PMSGs)-based dc microgrids operating in islanded mode, coordinated load sharing among multiple PMSGs is necessary when the available wind power exceeds the load demand. During the load sharing process, PMSG may prone to instability due to possible over deceleration. In order to address this issue, this paper presents a new distributed control scheme, which achieves stable load sharing among multiple PMSGs in a dc microgrid. Based on the distributed model predictive control (DMPC) approach, the proposed scheme coordinates the operation of parallel connected grid-side converters, thus optimizing the load sharing ratio for each PMSG. The salient feature of this scheme is that, by incorporating the rotor kinetic energy and generation margin into the controller design, it ensures stable operation of all PMSGs. Simulation results verify the effectiveness of the proposed scheme.
AB - For permanent magnet synchronous generators (PMSGs)-based dc microgrids operating in islanded mode, coordinated load sharing among multiple PMSGs is necessary when the available wind power exceeds the load demand. During the load sharing process, PMSG may prone to instability due to possible over deceleration. In order to address this issue, this paper presents a new distributed control scheme, which achieves stable load sharing among multiple PMSGs in a dc microgrid. Based on the distributed model predictive control (DMPC) approach, the proposed scheme coordinates the operation of parallel connected grid-side converters, thus optimizing the load sharing ratio for each PMSG. The salient feature of this scheme is that, by incorporating the rotor kinetic energy and generation margin into the controller design, it ensures stable operation of all PMSGs. Simulation results verify the effectiveness of the proposed scheme.
UR - https://www.scopus.com/pages/publications/85046263720
U2 - 10.1109/CDC.2017.8264522
DO - 10.1109/CDC.2017.8264522
M3 - 会议稿件
AN - SCOPUS:85046263720
T3 - 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
SP - 5714
EP - 5719
BT - 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 December 2017 through 15 December 2017
ER -