Multiple-Vector Model Predictive Power Control for Grid-Tied Wind Turbine System With Enhanced Steady-State Control Performance
Multiple-Vector Model Predictive Power Control for Grid-Tied Wind Turbine System With Enhanced Steady-State Control Performance
复制标题
DOI：
10.1109/tie.2017.2682000
复制
发表时间：
2017-08
影响因子：
7.7
通讯作者：
Zhenbin Zhang;Hui Fang;F. Gao;José R. Rodríguez;R. Kennel
中科院分区：
文献类型：
--
作者：
Zhenbin Zhang;Hui Fang;F. Gao;José R. Rodríguez;R. Kennel
直接模型预测控制(DMPC)是电力电子和电力传动的一种很有前途的替代方案。它考虑了功率变流器的开关非线性和系统约束，不需要额外的调制器。然而，其每个控制区间一个开关矢量的特性导致了控制变量的较大波动。因此，在采样频率相近的情况下，其稳态性能并不理想。针对背靠背变流器永磁同步发电机风力发电系统的网侧功率变流器控制问题，提出了一种基于全现场可编程门阵列的多矢量直接模型预测功率控制(MV-DMPPC)方案。将提出的控制方案与经典的DMPPC方案和最近报道的两种占空比优化的DMPPC方案进行了比较。仿真和实验结果表明，所提出的MV-DMPPC控制方案明显改善了系统的控制性能。
Direct model predictive control (DMPC) is a promising alternative for power electronics and electric drives. It takes the switching nonlinearity of the power converters and system constraints into consideration, without using an extra modulator. However, its one-switching-vector-per-control-interval character leads to big ripples of the control variables. Therefore, with a similar sampling frequency, its steady-state performance is not satisfying. In this paper, we propose a multiple-vector direct model predictive power control (MV-DMPPC) concept for the grid-side power converter control of a back-to-back converter permanent-magnet synchronous generator wind turbine system, using a fully field programmable gate array based solution. The proposed control scheme is compared with the classical DMPPC and two recently reported DMPPC scheme with duty cycle optimizations. Both simulation and experimental tests validate that the control performances are evidently improved with the proposed MV-DMPPC solution.