Enhancing the Control of Modular Multilevel Converters in Smart Transformers Using Model Predictive Control

Abstract

Modern electrical networks have undergone significant transformations to accommodate various generation sources like gas turbines, wind turbines, and photovoltaic panels. Smart grids play a crucial role in managing electricity transmission from these diverse sources while coordinating the needs of loads with the capabilities of generators. Solid-state transformers are a key component of smart grids, specifically designed for efficient coordination and transmission. These transformers are modular and can be divided into three sections: achv to dchv using a modular multilevel converter mmc, dchv to dclv using a dual active bridge, and finally dclv to aclv utilizing a simple inverter. This modular design allows them to adapt to different generation sources. This report delves deeper into the mmcand its functionalities within the solid-state transformer system