Improved Model Predictive Control Method for Modular Multilevel Converter (MMC) based on Insertion Indexes

摘要

This paper proposes an approach to improve the computational burden of Model Predictive Control (MPC) method by preselecting insertion indexes. This approach is based on utilizing number of on-state submodules (SMs), neighboring output voltage levels and circulating current to calculate the insertion indexes which are evaluated in the next sampling instant. This allows to reduce significantly number of control options and the computational burden. By using a sorting algorithm, which retains balance of capacitor voltages while a cost function ensures the regulation of the output current, arm voltages, and MMC circulating currents. Performance of the proposed approach is verified by experimental results.