LAPSE:2023.26655
Published Article
LAPSE:2023.26655
Model Predictive Virtual Synchronous Control of Permanent Magnet Synchronous Generator-Based Wind Power System
Yusheng Sun, Yaqian Zhao, Zhifeng Dou, Yanyan Li, Leilei Guo
April 3, 2023
As much wind power is integrated into the power grid through power electronic equipment, the use of wind power is increased rapidly. Wind power system makes the power grid lack inertia and damping, thereby reducing power grid stability; in severe cases, it may even be disconnected. virtual synchronous generator (VSG) has been put forward to enhance the anti-disturbance performance of power grid. However, conventional VSG adopts an outer power loop and inner-current loop control. The inner-current loop control needs a pulse width modulation (PWM) module and proportion integration (PI) parameter settings. In order to reduce the parameter settings and simplify control structures, in this study, model predictive control (MPC) is used instead of inner-current loop control. At the same time—for the overall stability and control flexibility of the back-to-back system—we further propose to use outer-voltage loop control (OVLC) and MPC to stabilize direct current (DC) voltage on the machine-side and to employ model predictive virtual synchronous controls to provide inertia and damping for the power grid. The proposed control method was simulated in Matlab/Simulink (MathWorks, Massachusetts, MA, 2016) and verified by experimental results.
Keywords
cost function, Model Predictive Control, virtual synchronous generator, wind power
Suggested Citation
Sun Y, Zhao Y, Dou Z, Li Y, Guo L. Model Predictive Virtual Synchronous Control of Permanent Magnet Synchronous Generator-Based Wind Power System. (2023). LAPSE:2023.26655
Author Affiliations
Sun Y: School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
Zhao Y: School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
Dou Z: School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
Li Y: School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
Guo L: School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China [ORCID]
Journal Name
Energies
Volume
13
Issue
19
Article Number
E5022
Year
2020
Publication Date
2020-09-24
Published Version
ISSN
1996-1073
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PII: en13195022, Publication Type: Journal Article
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doi:10.3390/en13195022
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