Modeling and Design of the Modular Multilevel Converter with Parametric and Model-Form Uncertainty Quantification

摘要

This paper presents a design methodology withuncertainty quantification to estimate the required margin fortwo main design variables in a modular multilevel converter(MMC). In this methodology, the minimum required designmargins are calculated by quantifying all sources of uncertaintyin the modeling and simulation of MMCs. To this end, anenhanced modeling framework is presented to take into accountthe parametric uncertainty (PU) that results from manufacturingvariability, and model-form uncertainty (MFU) that results frominherent inaccuracies of the models used in the design process.In this paper, sensitivity analysis (SA) is used to guidethe modeling effort and minimize the number of uncertainparameters required for inclusion in uncertainty quantification.Besides, a simplified testbed for model validation of the MMCis developed. This testbed is used for conducting low-powervalidation experiments and Monte-Carlo simulations to estimatePU and MFU, respectively.