Current-sensorless Finite-Control-Set Model Predictive Control for Three-level Voltage Source Inverter

2021 ◽  
Author(s):  
Kaixin Wang ◽  
Shengwei Chen ◽  
Yuhang Tang ◽  
Yong Yang ◽  
Mingdi Fan ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Voltage Source ◽  
Voltage Source Inverter ◽  
Finite Control ◽  
Control Set ◽  
Current Sensorless

scholarly journals Active damping method for voltage source inverter-based distributed generator using multivariable finite-control-set model predictive control

2021 ◽  
Vol 12 (1) ◽  
pp. 334
Author(s):  
Jonggrist Jongudomkarn ◽  
Warayut Kampeerawat
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Active Damping ◽  
Superior Performance ◽  
Voltage Source ◽  
Lcl Filter ◽  
Grid Voltage ◽  
Grid Current ◽  
Finite Control ◽  
Control Set

Despite its advantages, the LCL filter can significantly distort the grid current and constitute a substantially more complex control issue for the grid-connected distributed generators (DGs). This paper presents an active damping approach to deal with the LCL filter's oscillation for the finite-control-set model predictive control (FCS-MPC)-three-phase voltage source inverters (VSIs)-based DG. The new approaches use the multivariable control of the inverter side's filter current and capacitor voltage to suppress the LCL filter resonance. The proposed method has been tested in steady-state and under grid voltage disturbances. The comparative study was also conducted with the existing virtual resistance active damping approaches for an FCS-MPC algorithm. The study validates the developed control schemes' superior performance and shows its ability to eliminate lower-order grid current harmonics and decrease sensitivity to grid voltage distortion.

scholarly journals Performance Assessment of Grid Forming Converters Using Different Finite Control Set Model Predictive Control (FCS-MPC) Algorithms

2019 ◽  
Vol 9 (17) ◽  
pp. 3513 ◽  
Author(s):  
Mohammed Alhasheem ◽  
Frede Blaabjerg ◽  
Pooya Davari
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Point Of View ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Linear Load ◽  
Three Phase ◽  
Comparable Performance ◽  
Finite Control ◽  
Control Set

Finite control set model predictive control (FCS-MPC) methods in different power electronic applications are gaining considerable attention due to their simplicity and fast dynamics. This paper introduces an assessment of the two-level three-phase voltage source converter (2L-VSC) utilizing different MPC schemes with and without a modulation stage. In order to perform such a comparative evaluation, 2L-VSC efficiency and total harmonics distortion of the voltage (THDv) have been investigated, when considering a linear load. The results demonstrate the performance of different MPC algorithms through an experimental verification on a Danfoss converter, and a set of analyses have been studied using the PLECS and MATLAB/SIMULINK together. It can be concluded that a comparable performance is achieved by using conventional MPC (CMPC), improved MPC (IMPC), periodic MPC (PMPC), and MPC scheme with modulator (M 2 PC) controllers. The assessment is critical to classify the strategies as mentioned earlier according to their efficiency. Furthermore, it gives a thorough point of view on which algorithm is suitable for the grid-forming applications.

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