为提高虚拟同步机并网稳定性，提出了一种虚拟同步机控制参数的全局优化设计方法。首先，建立具有虚拟励磁机和调速器的虚拟同步发电机小信号模型，通过求解状态矩阵得到系统的特征值。其次，研究特征值位置对控制器参数的敏感性，并利用遗传算法在主特征值位置的基础上对参数进行大范围优化。最后，将模型的解析计算解和MATLAB/Simulink仿真数据进行对比分析，结果表明，通过优化大范围的虚拟同步机（virtual synchronous generator, VSG）参数，可以显著提高频率稳定性，参数优化后系统响应瞬态稳定时间为0.25 s，仅为一般参数时系统响应瞬态稳定时间的5%，当负载变化时，频率稳定性有明显提高。

To enhance the grid connection stability of virtual synchronous machines, a global optimization design method for virtual synchronous machine control parameters was proposed. Firstly, a small-signal model of the virtual synchronous generator with virtual exciter and governor was established, and the system eigenvalues were obtained by solving the state matrix. Secondly, the sensitivity of the controller parameters to the position of eigenvalues was studied, and a wide range of parameter optimization was conducted using genetic algorithms based on the main eigenvalue positions. Finally, analytical solutions of the model and MATLAB/Simulink simulation data were compared. The results show that significant improvements in frequency stability can be achieved by optimizing a wide range of virtual synchronous machine parameters. After optimization, the system response transient stability time is 0.25 s, only 5% of the transient stability time with general parameters, and the frequency stability improves noticeably with load changes.