LAPSE:2020.0437
Published Article
LAPSE:2020.0437
A Self-Adaptive Damping Control Strategy of Virtual Synchronous Generator to Improve Frequency Stability
Tianyang Li, Buying Wen, Huaiyuan Wang
May 18, 2020
In a microgrid, grid-connected inverters, as the interface between the distributed power supply and grid, cannot provide inertia support for the system. The control strategy of virtual synchronous generator (VSG) based on grid-connected inverters can enhance the stability of system frequency. In order to make the frequency response that has a smaller overshoot and a shorter settling time, a self-adaptive damping control strategy based on the relationship between the damping and the maximum frequency deviation for microgrid VSG is presented. The small-signal mathematical model of VSG is established, and the range of the damping coefficient is determined. Finally, simulation experiments are carried out with MATLAB/Simulink, and the effectiveness of the proposed control strategy is verified by comparing it with various damping control methods.
Keywords
damping, frequency stability, self-adaptive control, virtual synchronous generator
Suggested Citation
Li T, Wen B, Wang H. A Self-Adaptive Damping Control Strategy of Virtual Synchronous Generator to Improve Frequency Stability. (2020). LAPSE:2020.0437
Author Affiliations
Li T: Fujian Smart Electrical Engineering Technology Research Center, College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China; Jinjiang Science and Education Park of Fuzhou University, Fuzhou University, Quanzhou 362200, China
Wen B: Fujian Smart Electrical Engineering Technology Research Center, College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China; Jinjiang Science and Education Park of Fuzhou University, Fuzhou University, Quanzhou 362200, China
Wang H: Fujian Smart Electrical Engineering Technology Research Center, College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350116, China; Jinjiang Science and Education Park of Fuzhou University, Fuzhou University, Quanzhou 362200, China
Journal Name
Processes
Volume
8
Issue
3
Article Number
E291
Year
2020
Publication Date
2020-03-04
Published Version
ISSN
2227-9717
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PII: pr8030291, Publication Type: Journal Article
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LAPSE:2020.0437
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doi:10.3390/pr8030291
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May 18, 2020
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May 18, 2020
 
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Calvin Tsay
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