@ARTICLE{Tang_Min'an_Model_2022,
 author={Tang, Min'an and Yang, Shangmei and Zhang, Kaiyue and Wang, Qianqian and Liu, Chenggang and Dong, Xuewang},
 volume={vol. 71},
 number={No 1},
 journal={Archives of Electrical Engineering},
 pages={21-35},
 howpublished={online},
 year={2022},
 publisher={Polish Academy of Sciences},
 abstract={In order to overcome the shortcoming of large switching losses caused by variable switching frequency appears in the conventional finite control set model predictive control (FCS-MPC) algorithm, a model predictive direct power control (MP-DPC) for an energy storage quasi-Z-source inverter (ES-qZSI) is proposed. Firstly, the power prediction model of the ES-qZSI is established based on the instantaneous power theory. Then the average voltage vector in the ���� coordinate system is optimized by the power cost function. Finally, the average voltage vector is used as the modulation signal, and the corresponding switching signal with fixed frequency is generated by the shoot-through segment space vector pulse width modulation (SVPWM) technology. The simulation results show that the ES-qZSI realizes six shoot-through actions per control cycle and achieves the constant frequency control of the system, which verifies the correctness of the proposed control strategy.},
 type={Article},
 title={Model predictive direct power control of energy storage quasi-Z-source grid-connected inverter},
 URL={http://ochroma.man.poznan.pl/Content/122613/PDF/art02_corr.pdf},
 doi={10.24425/aee.2022.140195},
 keywords={energy-stored quasi-Z-source inverter, constant frequency control, model predictive direct power control, space vector modulation module},
}