摘要：With the continuous development of power electronics technology and the large-scale access of
new energy power generation, the stable operation of the power grid is facing huge challenges. The MMC
energy storage system has attracted more and more attention due to its strong ability to support the grid.
However, the MMC energy storage system has a complex structure and contains many devices, and the
research on high-performance control technology has always been a difficult point. In response to the above
problems, this article proposes a constraint satisfaction model predictive control method for MMC energy
storage system based on super capacitor. In the article, the operation mechanism of MMC energy storage
system is analyzed, and the discrete domain mathematical model of MMC-ESSC is established. The article
studies the prediction method of the future internal and external variables of the system, the rolling
optimization mechanism and the method of establishing the objective function, and finally carries on the
experiments verification. The analysis of experimental results shows that proposed control technology has
high dynamic characteristics and efficiency.
其他摘要：With the continuous development of power electronics technology and the large-scale access of new energy power generation, the stable operation of the power grid is facing huge challenges. The MMC energy storage system has attracted more and more attention due to its strong ability to support the grid. However, the MMC energy storage system has a complex structure and contains many devices, and the research on high-performance control technology has always been a difficult point. In response to the above problems, this article proposes a constraint satisfaction model predictive control method for MMC energy storage system based on super capacitor. In the article, the operation mechanism of MMC energy storage system is analyzed, and the discrete domain mathematical model of MMC-ESSC is established. The article studies the prediction method of the future internal and external variables of the system, the rolling optimization mechanism and the method of establishing the objective function, and finally carries on the experiments verification. The analysis of experimental results shows that proposed control technology has high dynamic characteristics and efficiency.
