Model Predictive Control of Grid Connected Modular Multilevel Converter for Integration of Photovoltaic Power Systems

Investigation of an advanced control structure for integration of Photovoltaic Power Systems through Grid Connected-Modular Multilevel Converter (GC-MMC) is proposed in this paper. To achieve this goal, a non-linear model of MMC regarding considering of negative and positive sequence components has been presented. Then, due to existence of unbalance voltage faults in distribution grid, non-linarites and uncertainties in model, model predictive controller which is developed for GC-MMC. They are implemented based upon positive and negative components of voltage and current to mitigate the power quality problems. Finally, numerical results are given in order to show the dynamic performance of GC-MMC prototype under normal and unbalanced fault conditions. They illustrate the proposed current controllers are more effective under voltage disturbance conditions and it could keep the MMC stable under different conditions.