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Analysis of multi-agent-based adaptive droop-controlled AC microgrids with PSCAD: Modeling and simulation
Li ZW(李忠文); Zang CZ(臧传治); Zeng P(曾鹏); Yu HB(于海斌); Li HP(李鹤鹏); Li SH(李署辉)
Source PublicationJournal of Power Electronics
Indexed BySCI ; EI
EI Accession number20151200673030
WOS IDWOS:000351249800016
Contribution Rank1
Funding OrganizationNatural Science Foundation of China [61100159, 61233007] ; National High Technology Research and Development Program of China (863 Program) [2011AA040103] ; Foundation of Chinese Academy of Sciences [KGCX2-EW-104] ; Strategic Priority Research Program of the Chinese Academy of Sciences [XDA06021100]
KeywordDistributed Generator (Dg) Droop Control Frequency Restoration Global Information Discovery Microgrid Multi-agent System
AbstractA microgrid (MG) with integrated renewable energy resources can benefit both utility companies and customers. As a result, they are attracting a great deal of attention. The control of a MG is very important for the stable operation of a MG. The droop-control method is popular since it avoids circulating currents among the converters without using any critical communication between them. Traditional droop control methods have the drawback of an inherent trade-off between power sharing and voltage and frequency regulation. An adaptive droop control method is proposed, which can operate in both the island mode and the grid-connected mode. It can also ensure smooth switching between these two modes. Furthermore, the voltage and frequency of a MG can be restored by using the proposed droop controller. Meanwhile, the active power can be dispatched appropriately in both operating modes based on the capacity or running cost of the Distributed Generators (DGs). The global information (such as the average voltage and output active power of the MG and so on) required by the proposed droop control method to restore the voltage and frequency deviations can be acquired distributedly based on the Multi Agent System (MAS). Simulation studies in PSCAD demonstrate the effectiveness of the proposed control method.
WOS HeadingsScience & Technology ; Technology
WOS SubjectEngineering, Electrical & Electronic
WOS Research AreaEngineering
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Cited Times:18[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorYu HB(于海斌)
Affiliation1.Lab. of Networked Control Systems, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
3.Department of Electrical and Computer Engineering, The University of Alabama, Tuscaloosa, AL, United States
Recommended Citation
GB/T 7714
Li ZW,Zang CZ,Zeng P,et al. Analysis of multi-agent-based adaptive droop-controlled AC microgrids with PSCAD: Modeling and simulation[J]. Journal of Power Electronics,2015,15(2):455-468.
APA Li ZW,Zang CZ,Zeng P,Yu HB,Li HP,&Li SH.(2015).Analysis of multi-agent-based adaptive droop-controlled AC microgrids with PSCAD: Modeling and simulation.Journal of Power Electronics,15(2),455-468.
MLA Li ZW,et al."Analysis of multi-agent-based adaptive droop-controlled AC microgrids with PSCAD: Modeling and simulation".Journal of Power Electronics 15.2(2015):455-468.
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