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A survey on cooperative control strategies for DC microgrids

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Abstract
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.
Author(s)
Duy-Long NguyenHong-Hee Lee
Issued Date
2022
Type
Article
Keyword
DC MicrogridDecentralized controlCentralized controlDistributed controlFuzzy logic controlNeural network approachDSPs: Digital Signal ProcessorsDigital Signal ProcessorsDGs: Distributed GeneratorsDistributed GeneratorsESSs: Energy Storage SystemsEnergy Storage SystemsMPPT: Maximum Power Point TrackingMaximum Power Point TrackingMGs: MicrogridsMicrogridsMPC: Model Predictive ControlModel Predictive ControlRESs: Renewable Energy SourcesRenewable Energy SourcesSoC: State of ChargeState of Charge
DOI
10.1016/j.neucom.2021.11.036
URI
https://oak.ulsan.ac.kr/handle/2021.oak/14052
Publisher
NEUROCOMPUTING
Language
영어
ISSN
0925-2312
Citation Volume
486
Citation Number
1
Citation Start Page
225
Citation End Page
236
Appears in Collections:
Medicine > Nursing
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