论文标题

我们需要多少个网格形成的转换器?小信号稳定性和电网强度的视角

How Many Grid-Forming Converters Do We Need? A Perspective From Small Signal Stability and Power Grid Strength

论文作者

Xin, Huanhai, Liu, Chenxi, Chen, Xia, Wang, Yuxuan, Prieto-Araujo, Eduardo, Huang, Linbin

论文摘要

网格形成(GFM)控制被认为是一种有前途的解决方案,可将大规模电力电子转换器容纳到现代电网中,这要归功于其网格友好的动力学,尤其是AC侧的电压源行为。 GFM转换器的电压源行为可以为电网提供电压支持,从而增强电网(电压)强度。但是,网格遵循(GFL)转换器还可以通过适当调节其反应电流来执行恒定的交流电压控制,这可能也像电压源一样。目前,尚不清楚GFL和GFM转换器的电压源行为之间的基本差异是什么,哪种类型的电压源行为可以增强功率电网强度。在本文中,我们将证明只有GFM转换器可以提供有效的电压源行为并根据小信号动力学增强功率电网强度。基于我们的分析,我们进一步研究了如何在网格中配置GFM转换器以及我们需要多少个GFM转换器的问题。我们研究了GFM和GFL转换器之间的容量比如何影响等效电网强度,从而如何影响系统的信号稳定性。我们提供了有关如何选择该比率以达到所需稳定性边际的准则。我们使用高保真模拟来验证分析。

Grid-forming (GFM) control has been considered a promising solution for accommodating large-scale power electronics converters into modern power grids thanks to its grid-friendly dynamics, in particular, voltage source behavior on the AC side. The voltage source behavior of GFM converters can provide voltage support for the power grid, and therefore enhance the power grid (voltage) strength. However, grid-following (GFL) converters can also perform constant AC voltage magnitude control by properly regulating their reactive current, which may also behave like a voltage source. Currently, it still remains unclear what are the essential differences between the voltage source behaviors of GFL and GFM converters, and which type of voltage source behavior can enhance the power grid strength. In this paper, we will demonstrate that only GFM converters can provide effective voltage source behavior and enhance the power grid strength in terms of small signal dynamics. Based on our analysis, we further study the problem of how to configure GFM converters in the grid and how many GFM converters we will need. We investigate how the capacity ratio between GFM and GFL converters affects the equivalent power grid strength and thus the small signal stability of the system. We give guidelines on how to choose this ratio to achieve a desired stability margin. We validate our analysis using high-fidelity simulations.

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