A New Model Predictive Current Controller forAC-DC Matrix Converter in Unbalanced Grids

doi:10.16182/j.issn1004731x.joss.23-0539

Abstract

Abstract:

To reduce the fluctuation of active power on the grid side of AC-DC matrix converters under unbalanced input conditions and to address the issue of variable switching frequency in discrete model predictive control, this paper proposes a novel model predictive control method. This method selects effective vectors based on the phase angle of the grid current, thus avoiding the computational burden of evaluating the value function in traditional model predictive control. Additionally, a second-order extended complex Kalman filter is introduced, which achieves the computation accuracy of the second-order term of the Taylor series expansion and enables the application of the novel model predictive control in unbalanced grid systems. Simulation results show that the proposed control strategy can effectively suppress grid-side current harmonics and stabilize the active power output of the system under unbalanced input voltage conditions, demonstrating excellent performance.

Key words: AC-DC matrix converters, model predictive control, Kalman filter, unbalanced power grids, symmetrical components

CLC Number:

TM46

Deng Wenlang, Wu Minghai, Xie Haipeng, Hu Yingjie. A New Model Predictive Current Controller forAC-DC Matrix Converter in Unbalanced Grids[J]. Journal of System Simulation, 2024, 36(9): 2159-2170.

Figures/Tables 19

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Table 1

Simulation parameters

主要参数	数值
电网电压 $U s$ /V	50
LC滤波器电感( $L f$ /mH, $R f$ /Ω)	1, 0.5
LC滤波器电容 $C f$ /μF	40
直流侧电感 $L$ / mH	10
直流侧负载 $R$ /Ω	8
FCS-MPC采样时间 $t s$ /μs	50
MMPC采样时间 $t s$ /μs	100
MMPC开关频率f_s/ kHz	10

Table 1

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Table 2

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标准	ECKF	SOECKF
响应速度/ms	1.85	1.753
稳态误差(SSE)/%	0.136	0.121

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