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Virtual Inertia Emulation Inspired Predictive Control to Improve Frequency Stability in Power Electronics Dominated Grid

机译:虚拟惯性仿真启发了预测控制,提高电力电子设备占据主导网格中的频率稳定性

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Power electronics-dominated grid (PEDG) has low inertia owing to the fast switching and the reduced penetration of rotating masses, which makes such grids vulnerable to disturbances. This paper proposes a predictive control scheme that emulates virtual inertia to achieve resilient and stable operation of the PEDG in response to load and generation disturbances. The conventional primary control layer for power electronics-based generation commonly utilizes cascaded PI controllers to regulate active/reactive power. This paper eliminates the need for cascaded linear control and employs a model predictive control (MPC) that enables virtual inertia emulation. Leveraging the inherent bandwidth of MPC enables tracking the desired rate of change of frequency (ROCOF) for various disturbances superior than the PI-based controllers. The MPC's penalty function replaces the cascaded linear control while eliminating significant tuning efforts. The investigated virtual inertia topologies for gird-following (GFL) and grid-forming (GFM) inverters are capable of regulating the ROCOF under frequency events. Several case studies are presented to demonstrate the inertia emulation effect considering the interaction between GFL and GFM inverters in PEDG.
机译:由于快速切换和旋转质量的渗透率降低,电力电子主导网格(PEDG)具有低惯性,这使得这种栅格易受扰动。本文提出了一种预测控制方案,用于响应负载和产生干扰来实现虚拟惯性以实现PEDG的弹性和稳定运行。用于电力电子基生成的传统主控制层通常利用级联PI控制器来调节主动/无功功率。本文消除了对级联线性控制的需求,采用了一种实现虚拟惯性仿真的模型预测控制(MPC)。利用MPC的固有带宽使得跟踪所需的频率变化率(Rocof),用于优于基于PI的控制器的各种干扰。 MPC的惩罚功能取代了级联的线性控制,同时消除了显着的调整工作。用于围绕以下(GFL)和网格形成(GFM)逆变器的调查的虚拟惯性拓扑能够在频率事件下调节Rocof。提出了几种案例研究以证明考虑到PEDG中GFL和GFM逆变器之间的相互作用的惯性仿真效果。

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