TY - GEN
T1 - MPC Control of Three-Phase CSI in Unbalanced Grid
AU - Liu, Yonghui
AU - Wang, Minghao
AU - Xu, Zhao
AU - Yan, Shuo
N1 - Funding Information:
This work is ponsored by the National Natural Science Foundation (NSFC) under Grant No. 62101473, and also supported by the Research Institute for Smart Energy (RISE) Strategic Supporting Scheme under Grant No. P0039642.
Publisher Copyright:
© 2022 IEEE.
PY - 2022/2
Y1 - 2022/2
N2 - With the benefit of saving a stage of DC/DC converter and the electrolytic capacitors on the DC side of the inverter, the current source inverter (CSI) is attracting the focus as the interface between the PV power panel and the grid in recent years. This paper proposes a continuous control set-model predictive control (CCS-MPC) for a three-phase CSI in an unbalanced grid. In the proposed strategy, the current reference is calculated according to the power reference and grid voltage. Then the CCS-MPC is designed to track the current reference. To damp the oscillation of the filter, both inductor current and capacitor voltage are introduced into the cost function. The desired current vector is calculated by minimizing the cost function and is achieved by SVPWM. The proposed strategy enables the fast response of CSI without oscillation in both balanced and unbalanced grids. The effectiveness of the proposed strategy is verified by simulation results.
AB - With the benefit of saving a stage of DC/DC converter and the electrolytic capacitors on the DC side of the inverter, the current source inverter (CSI) is attracting the focus as the interface between the PV power panel and the grid in recent years. This paper proposes a continuous control set-model predictive control (CCS-MPC) for a three-phase CSI in an unbalanced grid. In the proposed strategy, the current reference is calculated according to the power reference and grid voltage. Then the CCS-MPC is designed to track the current reference. To damp the oscillation of the filter, both inductor current and capacitor voltage are introduced into the cost function. The desired current vector is calculated by minimizing the cost function and is achieved by SVPWM. The proposed strategy enables the fast response of CSI without oscillation in both balanced and unbalanced grids. The effectiveness of the proposed strategy is verified by simulation results.
KW - current source inverter (CSI)
KW - model predictive control (MPC)
KW - state-space vector pulse width modulation (SVPWM)
KW - unbalanced grid
UR - http://www.scopus.com/inward/record.url?scp=85129286116&partnerID=8YFLogxK
U2 - 10.1109/ICoPESA54515.2022.9754441
DO - 10.1109/ICoPESA54515.2022.9754441
M3 - Conference article published in proceeding or book
AN - SCOPUS:85129286116
T3 - 2022 International Conference on Power Energy Systems and Applications, ICoPESA 2022
SP - 357
EP - 361
BT - 2022 International Conference on Power Energy Systems and Applications, ICoPESA 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Power Energy Systems and Applications, ICoPESA 2022
Y2 - 25 February 2022 through 27 February 2022
ER -