Abstract
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.
Highlights
In recent years, with the rapid development of power electronic technology and the improvement of control theory, higher control requirements have been put forward for power electronic systems[1]
In order to solve the above problems, this paper has proposed a constraint satisfied model predictive control strategy for MMC-ESSC
The analysis of the experimental results shows that safety constraints are added to the model predictive control strategy, and the output line voltage and phase voltage have no cross-level jumps
Summary
With the rapid development of power electronic technology and the improvement of control theory, higher control requirements have been put forward for power electronic systems[1]. The modular multi-level energy storage system based on supercapacitors has a modular structure design, a common DC bus structure, high output quality, and high dynamic response rate It has received extensive attention in flexible DC transmission and DC distribution networks. Multiple types of constraint indicators and control targets have been added to the design of the electric power electronics system In view of such numerous constraints and control targets, the traditional linear PI control has limitations in dealing with the constraints of multi-target optimization problems[6]. By predicting the future state of the system, establishing an appropriate rolling optimization mechanism, and introducing a weighting factor to reduce system loss while meeting the system output quality, the proposed control method can improve the dynamic response capability of the system and realize the integration of different control objectives
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