Electrical energy storage (EES) with a virtual synchronous generator (VSG) method is used widely for power fluctuation compensation in renewable energy microgrid systems. In the traditional VSG method, the inertia moment and damping coefficients usually remain constant. When dealing with large load variations, this method may cause obvious system frequency deviations and exceed the standard limit (e.g., IEEE Std 1547-2018). This paper proposes a novel control method combining fuzzy control with a model predictive controller (MPC) to solve this problem. The new method was applied to VSG. The virtual inertia and damping coefficient of VSG are on-line adjusted by a fuzzy controller, so that the regulation capability of the swing equation can be substantially utilized. The optimal rated power of VSG was modified using the MPC method, which further strengthens the EES support for power needs. The system frequency performance can be enhanced effectively under joint control. The simulation and experimental results further demonstrated the effectiveness of the proposed method.

中文翻译：

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交流微电网频率调节的增强：模糊 MPC 控制的虚拟同步发电机

采用虚拟同步发电机 (VSG) 方法的电能存储 (EES) 被广泛用于可再生能源微电网系统中的功率波动补偿。在传统的 VSG 方法中，惯性矩和阻尼系数通常保持不变。在处理较大的负载变化时，这种方法可能会导致明显的系统频率偏差并超过标准限制（例如，IEEE Std 1547-2018）。本文提出了一种将模糊控制与模型预测控制器（MPC）相结合的新型控制方法来解决这个问题。新方法应用于VSG。VSG的虚拟惯量和阻尼系数由模糊控制器在线调节，从而充分利用摆动方程的调节能力。使用 MPC 方法修改 VSG 的最佳额定功率，这进一步加强了 EES 对电力需求的支持。联合控制下可以有效提升系统频率性能。仿真和实验结果进一步证明了所提出方法的有效性。