Model Predictive Control of Modular Multilevel Converters Using Quadratic Programming

The finite control set-model predictive (FCS-MPC) has been adopted as an excellent choice for the applications of multilevel converters during last two decades its salient performance. However, in case modular (MMCs), a high amount calculation is always involved implementation, making FCS-MPC less suitable especially MMC with number submodules. To cope issue, this article proposes MPC technique very low cost. In each sampling period, arm voltage references phase are determined analytically by solving constrained quadratic programming problem formulated from cost function. Both rigorous and simplified procedure provided to solve optimization problem. Then, four nearest candidates around evaluated, leading proper selection levels. Several experimental tests on prototype carried out validate effectiveness proposed method. Results show that compared conventional method which evaluates all voltage-level combinations, scheme presents apparent advantage terms while achieving similar