Low-frequency oscillation modal analysis of virtual synchronous generator grid-connected system

Lihu Dong; Haixin Wang; Shanshan Cheng; Shengyang Lu; Yupeng Cai; Junyou Yang

doi:10.1117/12.2635193

25 April 2022 Low-frequency oscillation modal analysis of virtual synchronous generator grid-connected system

Lihu Dong, Haixin Wang, Shanshan Cheng, Shengyang Lu, Yupeng Cai, Junyou Yang

Proceedings Volume 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022); 1224441 (2022) https://doi.org/10.1117/12.2635193
Event: 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 2022, Guilin, China

Abstract

Virtual synchronous generators (VSG) technology can improve the inertial supportability of the new power system. However, its support characteristics are easily to cause low-frequency oscillation of the system, and there is a lack of corresponding mechanism analysis. Aiming at the problem of low-frequency oscillation in VSG grid-connected system, the small-signal model of VSG grid-connected system is established by state space method, and the influence of system parameters on low-frequency oscillation mode is identified by root locus method. The correctness of the conclusion is verified by Matlab / Simulink time-domain simulation. The results show that increasing the moment of inertia of VSG, the characteristic root of low-frequency oscillation mode moves to the right of the coordinate system, which is not conducive to the stability of the system. Increasing the damping coefficient and reducing the voltage level, the corresponding characteristic root moves to the left of the coordinate system, which is conducive to improving the stability of the lowfrequency oscillation mode of the system.

Citation Download Citation

Lihu Dong, Haixin Wang, Shanshan Cheng, Shengyang Lu, Yupeng Cai, and Junyou Yang "Low-frequency oscillation modal analysis of virtual synchronous generator grid-connected system", Proc. SPIE 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 1224441 (25 April 2022); https://doi.org/10.1117/12.2635193

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