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<p>When multiple Virtual Synchronous Generators (VSGs) operate in parallel, the heterogeneity of virtual inertia often leads to frequency mismatches and active power oscillations. To address this issue, this paper proposes a robust strategy for suppressing active power oscillations. By employing a distributed finite-time consensus protocol to precisely estimate the Center of Inertia (COI) frequency, the proposed method ensures robustness against communication failures and accelerates synchronization. Additionally, a fuzzy logic adaptive controller is utilized to dynamically compensate for active power deviations based on the difference between the local frequency and the COI frequency. Simulation results on 5-node and 10-node systems demonstrate that the finite-time consensus protocol achieves higher accuracy and more rapid convergence compared to conventional methods. Furthermore, the proposed strategy improves transient response speed by 44% under weak grid conditions, maintains stability against unbalanced faults, and reduces the average settling time to 0.783s under parameter mismatch scenarios.</p>

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An Adaptive Control Strategy for Damping Active Power Oscillations in Parallel Grid-Forming VSGs

  • 期刊论文

  • 发表日期：

    2026年3月13日

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  • Yunjun Yu,
  • Xueying Fan,
  • Hancheng Gong,
  • Wei Li,
  • Zujian Huang

摘要

When multiple Virtual Synchronous Generators (VSGs) operate in parallel, the heterogeneity of virtual inertia often leads to frequency mismatches and active power oscillations. To address this issue, this paper proposes a robust strategy for suppressing active power oscillations. By employing a distributed finite-time consensus protocol to precisely estimate the Center of Inertia (COI) frequency, the proposed method ensures robustness against communication failures and accelerates synchronization. Additionally, a fuzzy logic adaptive controller is utilized to dynamically compensate for active power deviations based on the difference between the local frequency and the COI frequency. Simulation results on 5-node and 10-node systems demonstrate that the finite-time consensus protocol achieves higher accuracy and more rapid convergence compared to conventional methods. Furthermore, the proposed strategy improves transient response speed by 44% under weak grid conditions, maintains stability against unbalanced faults, and reduces the average settling time to 0.783s under parameter mismatch scenarios.