Author(s)

YuLin Yuan

Affiliation(s)

School of Automation and Electrical Engineering, Tianjin University of Technology and Education, Tianjin 300222, China.

Corresponding Author

YuLin Yuan

ABSTRACT

Virtual synchronous generator (VSG) emulate synchronous generators to provide inertia and damping support for distributed power integration. However, conventional VSG control employs fixed parameters that hinder dynamic adaptation to system changes, often resulting in grid connection impact currents and voltage harmonics. To overcome these limitations, this study proposes a pre-synchronization strategy based on coordinated adaptive control of VSG parameters. A VSG mathematical model is established to analyze parameter influences on system output characteristics. A coordinated adaptive control method incorporating rotational inertia and damping coefficients is then developed, which demonstrates faster suppression of excessive changes and deviations in output response compared to conventional strategies. Furthermore, a pre-synchronization mechanism is integrated to achieve smooth grid synchronization while significantly reducing inrush currents and voltage harmonics before and after connection. Simulation results via PSCAD validate the feasibility and effectiveness of the proposed control strategy.

KEYWORDS

VSG; Coordinated adaptive; Pre-synchronization

CITE THIS PAPER

YuLin Yuan. Pre-synchronization control based on VSG parameter cooperative adaptation. World Journal of Engineering Research. 2026, 4(1): 66-71. DOI: https://doi.org/10.61784/wjer3078.

REFERENCES

[1] Qiong S, Hui Z. The Impact of Inertia on Characteristics of Virtual Synchronous Generator. Power Electronics, 2018.

[2] Shi K, Ye H, Song W, et al. Virtual Inertia Control Strategy in Microgrid Based on Virtual Synchronous Generator Technology. IEEE Access, 2018, 6, 27949-27957. DOI: 10.1109/ACCESS.2018.2839737.

[3] Wang Z, Yue C, Ma X, et al. Adaptive control strategy for grid-based energy storage converter under frequency disturbance. IOP Publishing Ltd, 2024.

[4] Mostajeran E, Safavizadeh A, Ebrahimi S. Triangular-Shaped and Simultaneous Adjustment of Inertia and Damping in VSG-based Distributed Energy Resources for Improved Frequency Response. 2021 IEEE Electrical Power and Energy Conference (EPEC), Toronto, ON, Canada, 2021, 384-389. DOI: 10.1109/EPEC52095.2021.9621492.

[5] Zhang Z, Li Z, Zhang H, et al. An Adaptive Virtual Synchronous Generator based Model Predictive Control with Enhanced Frequency Support Capability in Micro-Energy Systems. 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), Wuhan, China, 2023, 1-6. DOI: 10.1109/PRECEDE57319.2023.10174514.

[6] Chai X, Zhang C, Yang C, et al. Presynchronous, Control Strategy of Virtual Synchronous Generator Based on Virtual Power. Power Electronics, 2022, 56(5): 38-40.

[7] Wang M, Yang Y, Zhang Y, et al. Grid Impedance Adaptive VSG Control Based on Accurate Small-Signal Modelling. IEEE Transactions on Industry Applications, 2025, 61(4): 5891-5903.

[8] Ndtoungou A, Hamadi A, Lamaouche Z, et al. Active and Reactive Power Sharing of Two Parallel Inverters Using Combination of Virtual Synchronous Generator and Droop Control. 2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON), SC, USA, 2023, 1-7. DOI: 10.1109/ONCON60463.2023.10430496.

[9] Li Z, Jia X, Wang L, et al. VSG Control Strategy Based on Improved Inertia-damping Characteristics. Acta Energiae Solaris Sinica, 2021, 42(7): 78.