Improved Model Predictive Control for Grid-connected Inverter

2020 
The traditional model predictive control (MPC) has the problems of heavy computational burden and low predictive accuracy. An improved MPC is therefore proposed in this paper via combining the idea of no-beat control to calculate the target reference voltage vector. By optimizing the voltage vector selection, not only the calculation times of the control algorithm are reduced, but also the load current harmonic content, the inverter switching frequency and the power loss are reduced. The delay compensation is carried out to improve the accuracy of the model prediction, so as to improve the operation efficiency of the grid-connected inverter. Finally, the improved MPC simulation model is established in MATLAB/SIMULINK and the improved MPC is compared with the traditional MPC to verify its effectiveness in the experimental prototype.
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