MODEL PREDICTIVE CURRENT CONTROL WITH OPTIMAL STATE ESTIMATION FOR GRID-CONNECTED INVERTERS

摘要

In this research, a model predictive current control method of a three-phase voltage source inverter is developed with an optimal state estimator (OSE) for grid integration of renewable energy systems. This overcomes many of the challenges for interfacing variable energy resources into electric power systems. The model predictive control (MPC) exhibits excellent dynamic performances by predicting future behavior with minimization of a cost function. Modeling errors and parameter variations which MPC-based control techniques are unable to handle are effectively attenuated by the constructed OSE. Because the OSE accounts for uncertainties in the mathematical model of the system, it can play an important role in minimizing the effects of model uncertainties and disturbances. The proposed predictive current controller ensures rapid dynamic response of the inverter. Furthermore, incorporation of the OSE enables robust control performances in terms of uncertainties and disturbances.