A survey on cooperative control strategies for DC microgrids

被引:15
作者
Nguyen, Duy-Long [1 ]
Lee, Hong-Hee [1 ]
机构
[1] Univ Ulsan, Dept Elect Elect & Comp Engn, Ulsan, South Korea
关键词
DC Microgrid; Decentralized control; Centralized control; Distributed control; Fuzzy logic control; Neural network approach; ADAPTIVE DROOP CONTROL; DISTRIBUTED ENERGY-RESOURCES; VOLTAGE TRACKING CONTROL; FUZZY-LOGIC CONTROLLER; HIERARCHICAL CONTROL; MANAGEMENT-SYSTEM; SECONDARY CONTROL; DECENTRALIZED CONTROL; COORDINATED CONTROL; MULTIAGENT SYSTEM;
D O I
10.1016/j.neucom.2021.11.036
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:225 / 236
页数:12
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