Model Predictive Virtual Synchronous Control of Permanent Magnet Synchronous Generator-Based Wind Power System

Yusheng Sun, Yaqian Zhao, Zhifeng Dou, Yanyan Li and Leilei Guo
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Yusheng Sun: School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
Yaqian Zhao: School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
Zhifeng Dou: School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
Yanyan Li: School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China
Leilei Guo: School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China

Energies, 2020, vol. 13, issue 19, 1-14

Abstract: 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: model predictive control; virtual synchronous generator; wind power; cost function (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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