Model Predictive Control for Solid State Transformers: Advances and Trends

Abstract

Due to its high functionality, the solid state transformer (SST) represents an emerging technology with huge potential to replace the conventional low-frequency transformer (LFT) in a wide range of applications, including railway traction, smart grids, and others. On the other hand, model predictive control (MPC) has proven to be a highly promising control approach for several power electronics systems, especially those based on multiple power converters. Considering these facts, over recent years, different MPC techniques have been proposed for different types of SSTs. In addition to that, numerous MPC strategies have also been investigated for various power converters topologies that can be used in SSTs. However, a paper summarizing and discussing MPC strategies in the framework of SSTs has not yet been proposed in the literature, being the main goal of this work. In this paper, all the existing MPC techniques in complete SST topologies will be presented and discussed. In addition, for the sake of the example, an overview of MPC strategies in converter topologies typically used in SSTs will also be presented.

Research Review on Multi-Port Energy Routers Adapted to Renewable Energy Access

“…The energy router based on Solid State Transformer is mainly used to realize the conversion and control of energy flow among various power forms and voltage levels in regional medium and low voltage distribution networks or microgrids [17], the core of which is SST, also known as power electronic transformer (PET). Compared with traditional transformers, SST integrates electrical isolation, voltage conversion, reactive power compensation and other functions, which can be connected to the AC power grid or directly to the DC power supply, so as to facilitate the grid connection of renewable energy such as photovoltaic power generation [18][19][20]. Typical SST consists of a high voltage stage, isolation stage and low voltage stage.…”