Finite Control Set Model Predictive Control for Grid-Connected AC–DC Converters With LCL Filter
Finite Control Set Model Predictive Control for Grid-Connected AC–DC Converters With LCL Filter
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DOI:
10.1109/tie.2017.2750627
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发表时间:
2018-04
影响因子:
7.7
通讯作者:
P. Falkowski;A. Sikorski
中科院分区:
文献类型:
--
作者:
P. Falkowski;A. Sikorski
This paper presents two new implementations of finite control set model predictive control (FCS-MPC) methods applied to ac–dc converters with an inductive.capacitive.inductive (LCL) filter. The LCL filter, despite its advantages, can cause a strong resonance in the grid current and also pose a substantially more complex control problem. The new solutions improve the FCS-MPC with an active damping algorithm by eliminating low-order grid current harmonics and decreasing sensitivity to grid voltage distortion. The new methods, i.e., PCi1i2uc and PCi1i2uc-2steps propose multivariable approaches using converter-side current, line-side current, and capacitor voltage. Another improvement involves extending the prediction horizon in PCi1 i2uc-2steps. Both methods have been tested and compared in steady and transient states as well as under grid voltage disturbances. The methods were also compared with a predictive control algorithm with active damping. The simulation results and experimental measurements validate the developed control schemes and show high quality of grid current (low THDi value), high dynamic performance, and immunity under distorted grid voltage conditions.