A Novel Hybrid Control Strategy for the Energy Storage Modular Multilevel Converters

被引：0

作者：

Yuan, Qingqing ^{[1
]}

Yang, Fengnian ^{[1
]}

Li, An ^{[1
]}

Ma, Ting ^{[1
]}

机构：

[1] Univ Shanghai Sci & Technol, Dept Elect Engn, Shanghai 200093, Peoples R China

来源：

IEEE ACCESS | 2021年 / 9卷

关键词：

Bridge circuits; State of charge; Energy storage; Batteries; Mathematical model; Tuning; Multilevel converters; Energy storage modular multilevel converter (ESMMC); hybrid control; improved model predictive control (MPC); weighting factors online tuning;

D O I：

10.1109/ACCESS.2021.3073108

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a novel hybrid control strategy has been proposed for the energy storage modular multilevel converters (ESMMC) to realize a nice current performance and ensure the state of change (SOC) of batteries to be balanced. Firstly, traditional proportional integral (PI) control was used to get the circulating current reference; then an improved model predictive control (MPC) method with the weighting factors being online tuned has been designed to obtain the accessing numbers of the submodules in each phase. Lastly, the conventional sorting method for the SOC balancing was given. Experimental comparisons indicate that this proposed novel control strategy can not only ensure a nice current control performance, but also effectively suppress the circulating current component, and it can save over 39.42% execution time in contrast with the traditional PI method, which is feasible for the digital implementation.

引用

页码：59466 / 59474

页数：9

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