HIERARCHICAL DISTRIBUTED MODEL PREDICTIVE CONTROL FOR MULTIPLE HYBRID ENERGY STORAGE SYSTEMS IN A DC MICROGRID

被引:3
作者
Yang, Weilin [1 ]
Zhao, Chaonan [1 ]
Hu, Guanyang [1 ]
Xu, Dezhi [1 ]
Pan, Tinglong [1 ]
机构
[1] Jiangnan Univ, Sch Internet Things Engn, 1800 Lihu Ave, Wuxi 214122, Peoples R China
来源
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL | 2023年 / 19卷 / 06期
基金
中国国家自然科学基金;
关键词
DC microgrid; Hybrid energy storage system; Distributed model predictive control;
D O I
10.24507/ijicic.19.06.1735
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
. The coordination and optimization between multiple hybrid energy storage systems in direct current (DC) microgrid can effectively meet the load demand of microgrid and extend the life of generator sets, thus ensuring the stability and safety of grid operation. In this paper, a hierarchical distributed model predictive control is constructed; the upper layer employs an iterative distributed control strategy for the purpose of power scheduling coordination, while the lower layer uses finite-control set model predictive control to achieve accurate power tracking. The optimization problem in the upper layer is solved by the alternating direction method of multipliers. Moreover, the time delay caused by computations is taken into account by considering one-step delay compensation. Simulations show the effectiveness of the proposed method in hybrid energy storage system control.
引用
收藏
页码:1735 / 1751
页数:17
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