Model Predictive Control of a Grid Side Inverter for PMSG Based Wind Energy Conversion System

This paper presents a model predictive control (MPC) of the grid side inverter for PMSG based wind energy conversion system (WECS). The control objectives include-(i) regulation of the dc-link voltage, (ii) control of the active and reactive power flow into the grid and (iii) inverter switching frequency minimization. All the control goals are incorporated to the quadratic cost function and suitable switching states are predicted based on the minimum value of the cost function. The optimum switching state has been selected and applied to the inverter directly. A heuristic approach is adopted to choose the weighting factors which in turn minimizes the variations of the converter switching frequency. The effectiveness of the control strategy has been verified by the rigorous simulation studies using Matlab/SimPowerSystem.