Grouping Control Strategy of Battery Energy Storage Array System Based on an Improved Distributed Consensus Algorithm

被引：0
|
作者：
Guo W. [1 ]
Zhao H. [1 ]
机构：
[1] School of Electrical and Electronic Engineering, North China Electric Power University, Baoding
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2019年 / 34卷 / 23期
关键词：
Battery energy storage array system; Distributed consensus algorithm; Modelpredictivecontrol(MPC); Weighted;
D O I：
10.19595/j.cnki.1000-6753.tces.181594
中图分类号：
学科分类号：
摘要：
For the optimal operation of battery energy storage array system composed of multiple battery units, a weighted discrete consensus algorithm based on model predictive control(MPC) was proposed. Firstly, the derivation process of the distributed algorithm was introduced in detail. By using this algorithm, the adaptive allocation of power between the same energy storage medium can be realized. Secondly, under the premise of not affecting the rated power of BESAS, the battery units were divided into a charging group and a discharging group. And a coordinated operation strategy of multiple battery units had been formulated to improve the operating environment of the battery units. In addition, the convergence rate of the proposed algorithm can be greatly improved by shrinking the weighted matrix. Finally, the actual wind farm data was used to verify the simulation. The results show that the proposed algorithm and control strategy have certain advantages in terms of control effect, convergence rate and extending battery life. © 2019, Electrical Technology Press Co. Ltd. All right reserved.
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页码：4991 / 5000
页数：9
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