Abstract Aiming at the problem of traditional model predictive control (MPC) of high current ripple, an improved discrete space vector model predictive control (DSVM-MPC) method is proposed. This control method not only introduces voltage virtual vector, but also improves voltage usage and ensures high quality output current, and voltage vector preselection technique is used. By dividing the voltage vector into six sectors by combining with the space vector pulse width modulation (SVPWM) theory, the model predictive control technique is used to judge the sector where the voltage of the next sampling period is located, and the thirty-eight voltage vectors used in the prediction process of the discrete space vector model are reduced to only eleven voltage vectors. This not only improves the quality of the grid-connected current, but also does not introduce a lot of calculations. The simulation results show that the control method has improved the current ripple and the current tracking performance is improved compared with the traditional model predictive control.
Ding Xiong,Lin Guoqing. Research on three-phase grid-connected inverter based on discrete space vector model predictive control[J]. Electrical Engineering, 2020, 21(3): 16-21.
[1] Cortes P, Kazmierkowski M P, Kennel R M, et al.Predictive control in power electronics and drives[J]. IEEE Transactions on Industrial Electronics, 2008, 55(12): 4312-4324. [2] 陈宁宁, 宋子豪, 汪泽州. 模型预测控制在光伏并网逆变器中的应用[J]. 电气技术, 2017, 18(4): 79-83. [3] 毛人杰, 李媛. 基于模型预测控制的开关电感准Z源逆变器研究[J]. 电气技术, 2018, 19(3): 8-11, 19. [4] Tarisciotti L, Zanchetta P, Watson A, et al.Modulated model predictive control for a three-phase active rectifier[J]. IEEE Transactions on Industry Appli- cations, 2015, 51(2): 1610-1620. [5] 杨勇, 赵方平, 阮毅, 等. 三相并网逆变器模型电流预测控制技术[J]. 电工技术学报, 2011, 26(6): 153-159. [6] Vazquez S, Rodriguez J, Rivera M, et al.Model predictive control for power converters and drives: advances and trends[J]. IEEE Transactions on Indu- strial Electronics, 2017, 64(2): 935-947. [7] 柳志飞, 杜贵平, 杜发达. 有限集模型预测控制在电力电子系统中的研究现状和发展趋势[J]. 电工技术学报, 2017, 32(22): 58-69. [8] 李伟, 张勇军, 肖雄. 实时电感辨识的模型预测并网逆变器控制方法[J]. 电工技术学报, 2018, 33(15): 3450-3460. [9] 郭磊磊, 金楠, 申永鹏. 一种基于优化电压矢量选择的电压源逆变器模型预测共模电压抑制方法[J]. 电工技术学报, 2018, 33(6): 1347-1355. [10] Ocen D, Romeral L, Ortega J A, et al.Discrete space vector modulation applied on a PMSM motor[C]// IEEE Power Electronics Specialists Conference, 2006. [11] Vazquez S, Leon J I, Franquelo L G, et al.Model predictive control with constant switching frequency using a discrete space vector modulation with virtual state vectors[C]//2009 IEEE International Conference on Industrial Technology, 2009. [12] Restrepo J, Viola J, Aller J M, et al.A simple switch selection state for SVM direct power control[C]//2006 IEEE International Symposium on Industrial Elec- tronics, 2006: 1112-1116. [13] Maaoui-Ben Hassine I, Naouar M W, Mrabet-Bellaaj N. Model predictive-sliding mode control for three-phase grid-connected converters[J]. IEEE Transactions on Industrial Electronics, 2017, 64(2): 1341-1349. [14] Kouro S, Cortes P, Vargas R, et al.Model predictive control-a simple and powerful method to control power converters[J]. IEEE Transactions on Industrial Elec- tronics, 2009, 56(6): 1826-1838. [15] Rodriguez J, Kazmierkowski M P, Espinoza J R, et al.State of the art of finite control set model predictive control in power electronics[J]. IEEE Transactions on Industrial Informatics, 2013, 9(2): 1003-1016. [16] Jiang C, Du G, Du F, et al.A fast model predictive control with fixed switching frequency based on virtual space vector for three-phase inverters2[C]// IEEE International Power Electronics and Application Conference and Exposition, 2018: 703-709. [17] Kwak S, Yoo S J, Park J.Finite control set predictive control based on Lyapunov function for three-phase voltage source inverters[J]. IET Power Electronics, 2014, 7(11): 2726-2732.
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