VSG Sequence Impedance Modeling and Stability Analysis of Dead-Beat Control

Shida Sun; Mingtao Wu; Zhengbin Chen

doi:10.54097/b5m88h09

Authors

Shida Sun
Mingtao Wu
Zhengbin Chen

DOI:

https://doi.org/10.54097/b5m88h09

Keywords:

Virtual synchronous generator, dead-beat predictive control, virtual resistance; sequence impedance model, stability analysis.

Abstract

Virtual Synchronous Generator uses dead-beat predictive control in the voltage and current loop to improve the dynamic response speed of the system, but the presence of zero-order hold and computation time can lead to system instability. To address this issue, this paper adopts an improved dead-beat predictive control strategy for VSG. This is achieved by linear interpolation to forward predict voltage-current reference values to reduce the impact of delay, while introducing error compensation coefficients to enhance the stability of the voltage-current inner loop of VSG. The selection of error compensation coefficients is based on closed-loop impulse response functions. A harmonic linearization method is used to construct a complete sequence impedance model of VSG, and it's stability is analyzed. The results indicate that VSG's negative sequence impedance exhibits instability in the low-frequency range. To address this, a method of introducing a virtual resistor into VSG is proposed to improve stability. By constructing a sequence impedance model of VSG that includes virtual resistance, the variations in system stability under different virtual resistances and grid impedances are analyzed. The effectiveness of the proposed method is verified by building a VSG model.

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