摘要
为降低AC-DC矩阵变换器在输入不平衡条件下网侧有功功率波动,以及离散型模型预测控制中开关频率不固定的问题,提出一种新型模型预测控制方法。通过根据电网电流相位角选择有效矢量,避免了传统模型预测控制评估价值函数计算的负担。提出了一种二阶扩展复数卡尔曼滤波器,计算精度可以达到泰勒级数展开的二阶项,新型模型预测控制能够在不平衡电网系统中应用。仿真结果表明:所提控制策略在输入电压不平衡工况下,能够有效抑制网侧电流谐波,稳定系统输出的有功功率,并且表现出良好的性能。
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 secondorder 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.
作者
邓文浪
吴明海
谢海鹏
胡英杰
Deng Wenlang;Wu Minghai;Xie Haipeng;Hu Yingjie(School of Automation and Electronic Information,Xiangtan University,Xiangtan 411105,China)
出处
《系统仿真学报》
CAS
CSCD
北大核心
2024年第9期2159-2170,共12页
Journal of System Simulation
基金
湖南省自然科学基金面上项目(2021JJ30668)。
