Paper Info
Title
Finite Control Set Model Predictive Control for LCL-Filtered Grid-Tied Inverter With Minimum Sensors
Abstract
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.
Year
DOI
Venue
2020
10.1109/TIE.2019.2962444
IEEE Transactions on Industrial Electronics
Keywords
DocType
Volume
Control reliability,delay compensation,finite control set model predictive control (FCS-MPC),grid synchronization,LCL filter,state observer,virtual flux (VF) observer
Journal
67
Issue
ISSN
Citations 
12
0278-0046
2
PageRank 
References 
Authors
0.40
0
6
Name
Order
Citations
PageRank
Xiaotao Chen120.40
Weimin Wu223643.97
Ning Gao320.40
Henry S. H. Chung465337.43
Marco Liserre535765.71
Frede Blaabjerg61195248.32