TY - GEN
T1 - Improved Model Predictive Control for Grid-connected Inverter
AU - Chen, Yong
AU - Ma, Pengcheng
AU - Huang, Jingjing
AU - Yang, Lei
AU - Tong, Xiangqian
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/8
Y1 - 2020/8
N2 - The traditional model predictive control (MPC) has the problems of heavy computational burden and low predictive accuracy. An improved MPC is therefore proposed in this paper via combining the idea of no-beat control to calculate the target reference voltage vector. By optimizing the voltage vector selection, not only the calculation times of the control algorithm are reduced, but also the load current harmonic content, the inverter switching frequency and the power loss are reduced. The delay compensation is carried out to improve the accuracy of the model prediction, so as to improve the operation efficiency of the grid-connected inverter. Finally, the improved MPC simulation model is established in MATLAB/SIMULINK and the improved MPC is compared with the traditional MPC to verify its effectiveness in the experimental prototype.
AB - The traditional model predictive control (MPC) has the problems of heavy computational burden and low predictive accuracy. An improved MPC is therefore proposed in this paper via combining the idea of no-beat control to calculate the target reference voltage vector. By optimizing the voltage vector selection, not only the calculation times of the control algorithm are reduced, but also the load current harmonic content, the inverter switching frequency and the power loss are reduced. The delay compensation is carried out to improve the accuracy of the model prediction, so as to improve the operation efficiency of the grid-connected inverter. Finally, the improved MPC simulation model is established in MATLAB/SIMULINK and the improved MPC is compared with the traditional MPC to verify its effectiveness in the experimental prototype.
KW - MPC
KW - optimization algorithm
KW - time delay compensation
UR - https://www.scopus.com/pages/publications/85091597625
U2 - 10.1109/CCDC49329.2020.9163921
DO - 10.1109/CCDC49329.2020.9163921
M3 - 会议稿件
AN - SCOPUS:85091597625
T3 - Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020
SP - 2387
EP - 2391
BT - Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 32nd Chinese Control and Decision Conference, CCDC 2020
Y2 - 22 August 2020 through 24 August 2020
ER -