LAPSE:2023.20809
Published Article
LAPSE:2023.20809
A Hybrid Master−Slave Control Strategy for Multiple Distributed Generators in Microgrid
Yanxia Chen, Jing Li, Yu Wen, Moeed Sehnan, Wanyu Xu
March 20, 2023
Abstract
The problem of insufficient regulation ability in isolated microgrid operations in traditional master−slave control is targeted in this research. A hybrid master−slave control strategy is proposed to operate multiple distributed generators (DGs) in a microgrid with alleviated regulation characteristics. Firstly, a virtual synchronous generator control is adopted in the master DG to provide voltage and frequency support for the system; however, the lack of participation of the slave DG control in traditional PQ droop control in the system regulation makes a master DG susceptible to any load variation. The problem is resolved by proposing an improved droop control strategy, which ensures that the slave DG has similar output droop characteristics as the master DG and thus can respond to system load disturbances alongside the master DG. Secondly, virtual coordinate transformation and virtual impedance control are introduced to realize the decoupling and precise distribution of output power of multiple DGs. Finally, a simulation and experimental platform for a multi-DGs parallel system are established to verify the effectiveness of the proposed strategy.
Keywords
distributed generator, improved droop control, master–slave hybrid control, microgrid
Suggested Citation
Chen Y, Li J, Wen Y, Sehnan M, Xu W. A Hybrid Master−Slave Control Strategy for Multiple Distributed Generators in Microgrid. (2023). LAPSE:2023.20809
Author Affiliations
Chen Y: State Grid Beijing Electric Power Research Institute, Beijing 100075, China
Li J: State Grid Beijing Electric Power Research Institute, Beijing 100075, China
Wen Y: State Grid Beijing Electric Power Research Institute, Beijing 100075, China
Sehnan M: Research and Development Department, TEMSTEC (Pvt) Ltd., Wah Cantt 47040, Pakistan
Xu W: State Grid Beijing Electric Power Research Institute, Beijing 100075, China
Journal Name
Energies
Volume
16
Issue
2
First Page
968
Year
2023
Publication Date
2023-01-15
ISSN
1996-1073
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Original Submission
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PII: en16020968, Publication Type: Journal Article
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LAPSE:2023.20809
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https://doi.org/10.3390/en16020968
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