首页|Optimal Cooperative Secondary Control for Islanded DC Microgrids via a Fully Actuated Approach

Optimal Cooperative Secondary Control for Islanded DC Microgrids via a Fully Actuated Approach

扫码查看
原文链接
  • 万方数据
  • 维普
DC-DC converter-based multi-bus DC microgrids(MGs)in series have received much attention,where the conflict between voltage recovery and current balancing has been a hot topic.The lack of models that accurately portray the electrical characteristics of actual MGs while is controller design-friendly has kept the issue active.To this end,this paper establishes a large-signal model containing the comprehensive dynamical behavior of the DC MGs based on the theory of high-order fully actuated systems,and proposes distributed optimal control based on this.The proposed secondary control method can achieve the two goals of voltage recovery and current sharing for multi-bus DC MGs.Additionally,the simple structure of the proposed approach is similar to one based on droop control,which allows this control technique to be easily implemented in a variety of modern microgrids with different configurations.In contrast to existing studies,the process of controller design in this paper is closely tied to the actual dynamics of the MGs.It is a prominent feature that enables engineers to customize the performance met-rics of the system.In addition,the analysis of the stability of the closed-loop DC microgrid system,as well as the optimality and consensus of current sharing are given.Finally,a scaled-down solar and battery-based microgrid prototype with maximum power point tracking controller is developed in the laboratory to experimentally test the efficacy of the proposed control method.

DC microgridsdistributed controlhigh-order fully actuated system approachlinear quadratic regulatormicrogrid modelingsecondary control

Yi Yu、Guo-Ping Liu、Yi Huang、Peng Shi

展开 >

Shenzhen Key Laboratory of Control Theory and Intelligent Systems,Southern University of Science and Technology,Shenzhen 518055,China

School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China

School of Electrical and Mechanical Engineering,the University of Adelaide,SA 5005,Australia,Research and Innovation Centre,Obuda University,1034 Budapest,Hungary

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaShenzhen Key Laboratory of Control Theory and Intelligent Systems

6217325562188101ZDSYS20220330161800001

2024

10.1109/JAS.2023.123942

自动化学报(英文版)
中国自动化学会,中国科学院自动化研究所,中国科技出版传媒股份有限公司

自动化学报(英文版)

CSTPCDEI
ISSN：2329-9266
年,卷(期)：2024.11(2)
  • 33