Distributed Optimal Power Management for Battery Energy Storage Systems: A Novel Accelerated Tracking ADMM Approach

被引：2
作者：
Farakhor, Amir [1 ]
Wang, Yebin [2 ]
Wu, Di [3 ]
Fang, Huazhen [1 ]
机构：
[1] Univ Kansas, Dept Mech Engn, Lawrence, KS 66045 USA
[2] Mitsubishi Elect Res Labs, Cambridge, MA USA
[3] Pacific Northwest Natl Lab, Richland, WA USA
来源：
2023 AMERICAN CONTROL CONFERENCE, ACC | 2023年
关键词：
D O I：
10.23919/ACC55779.2023.10156008
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Distributed Optimal Power Management for Battery Energy Storage Systems: A Novel Accelerated Tracking ADMM Approach
引用
收藏
页码：3106 / 3112
页数：7
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