Multivariate Model Predictive Control for High Permeability Photovoltaic Microgrid

In order to improve the efficiency of photovoltaic (PV) grid-connected response and reduce the total harmonic distortion rate, a multivariate model predictive control (MPC) strategy for PV inverter grid-connected system is proposed. Firstly, the maximum power point tracking (MPPT) of DC/DC converter is designed according to the output power curve of PV. Then, based on the mathematical model of the inverter in rotating coordinate system, MPC method is used to determine the predicted value of the output current at k + 2 time. The current error and DC bus voltage error are taken as the control factors of the value function. The aim is to minimize the value function and achieve optimal control. Finally, MATLAB/Simulink simulation verifies the effectiveness of this strategy in improving the voltage stability of DC bus and reducing the total harmonic distortion of current on the grid side.