Three-vector-based model predictive current control for energy-stored quasi-Z-source PV inverter

doi:10.19799/j.cnki.2095-4239.2020.0039

Abstract

Abstract:

In this study, a three-vector-based model predictive current control (MPCC) is proposed for an energy-storage quasi-Z-source inverter because of the low accuracy of MPCC that can be attributed to large current ripples. The current in a synchronously rotating coordinate system is considered to be the control variable, and six virtual voltage vectors are constructed according to the nearest three vectors principle; thus, the output voltage vector range of the inverter can cover any direction and amplitude. Then, the minimum current error principle with respect to the direct and quadrature axes is used to calculate the duration of each discrete voltage vector. Finally, the optimal voltage vector acting on the inverter is obtained via six current predictions. The simulation results show that the current distortion rate of this method is 2.92% less than that of the traditional MPCC. Furthermore, the current ripple is smaller, and the output performance of the inverter is superior.

Key words: energy-storage quasi-Z-source inverter, three-vector-based model predictive current control, virtual voltage vector, current distortion rate, current ripple

CLC Number:

TQ 028.8

TANG Min’an, YANG Shangmei, XU Xiyuan. Three-vector-based model predictive current control for energy-stored quasi-Z-source PV inverter[J]. Energy Storage Science and Technology, 2020, 9(4): 1159-1166.

Figures/Tables 12

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开关状态	非直通								直通
输出电压	u₀	u₁	u₂	u₃	u₄	u₅	u₆	u₇	u₈
S₁	0	1	1	1	0	0	0	1	1
S₄	1	1	0	0	0	1	1	0	1
S₃	0	0	1	1	1	0	0	1	1
S₆	1	1	1	1	0	0	0	0	1
S₅	0	0	0	0	1	1	1	1	1
S₂	1	0	0	1	1	1	0	0	1

参数	数值
电网线电压/V	70
输入电压u_pv/V	150～250
电池电压u_B/V	39.3
RL负载L, R/mH, Ω	7.1,5.0
光伏电池内阻r_s/Ω	2.58
qZSI电感L₁, L₂/μH	2100
qZSI电容C₁, C₂/μF	2300

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