Finite Control Set Model Predictive Control for LCL-Filtered Grid-Tied Inverter With Minimum Sensors
Finite Control Set Model Predictive Control for LCL-Filtered Grid-Tied Inverter With Minimum Sensors
复制标题
具有最少传感器的 LCL 滤波并网逆变器的有限控制集模型预测控制
DOI：
10.1109/tie.2019.2962444
复制
发表时间：
2020-12-01
影响因子：
7.7
通讯作者：
Blaabjerg, Frede
中科院分区：
文献类型：
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作者：
Chen, Xiaotao;Wu, Weimin;Blaabjerg, Frede
最近，有限控制集模型预测控制（FCS-MPC）已成功地应用于并网逆变器与LCL滤波器。然而，为了实现主动阻尼和电网同步，需要许多传感器，增加了成本和复杂性。此外，在实验实施时应该解决相当大的计算延迟，这可能会降低整个系统的性能。为了减少传感器数量，消除计算时延，提高系统控制可靠性，提出了一种仅采用电网注入电流传感器的FCS-MPC控制策略，该策略由虚拟磁链观测器、状态观测器、时延补偿和基于估计的FCS-MPC算法四部分组成。建立了一个3 kW/3相/110 V的实验平台，验证了在电网电压平衡和不平衡的情况下，仅采用注入电流传感器的基于观测的控制方法都能获得满意的并网同步性能和高质量的注入电流。
Recently, finite control set model predictive control (FCS-MPC) has been successfully applied in the grid-tied inverter with the LCL filter. However, to achieve active damping and grid synchronization, many sensors are required, increasing cost, and complexity. In addition, a considerable computational delay should be addressed when it is experimentally implemented, which may degrade the performance of the overall system. In order to reduce the number of sensors, eliminate the computational delay, and enhance the control reliability of the system, a novel FCS-MPC strategy with merely grid-injected current sensors is proposed, which contains four compositions: virtual flux observer, state observer, delay compensation, and FCS-MPC algorithm based on estimations. A 3-kW/3-phase/110-V experimental platform is established to validate that utilizing the proposed observations-based control method with only grid-injected current sensors is capable to obtain satisfactory performance of grid synchronization and high-quality grid-injected current both under balanced and unbalanced grid voltage condition.