期刊
NEUROCOMPUTING
卷 486, 期 -, 页码 225-236出版社
ELSEVIER
DOI: 10.1016/j.neucom.2021.11.036
关键词
DC Microgrid; Decentralized control; Centralized control; Distributed control; Fuzzy logic control; Neural network approach
This paper surveys cooperative control strategies for multiple distributed generators in DC microgrids. The advantages and drawbacks of decentralized control, centralized control, and distributed control are compared. Furthermore, some intelligent control methods such as fuzzy logic control and neural network approaches are briefly introduced. The research trends and challenges in this area are also discussed.
Distributed generators have been widely used in modern power systems, and microgrids are becoming a key concept for the integration of multiple distributed generators and clusters of loads with great efficiency and high system reliability. In a microgrid, the control strategy is one of the most important issues. Various control schemes have been proposed to achieve the cooperation of distributed generators in a microgrid. This paper surveys cooperative control strategies for multiple distributed generators in DC microgrids. The three popular coordinated control strategies are presented: decentralized control, centralized control, and distributed control. The advantages and drawbacks of the control strategies are compared. Some intelligent control methods such as fuzzy logic control and neural network approaches are also briefly introduced in the context of microgrids. Further research trends and challenges in this area are also discussed.(c) 2021 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据