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Approximation of the frequency response of power systems based on scale invariance

机译:基于尺度不变性的电力系统频率响应近似

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摘要

Power networks are complex systems composed of many heterogeneous and interacting components. Smart grids are even more complex systems due to the convergence of electrical and communication networks. In order to deal with this complexity, a mathematical model that is reduced-size, accurate, wide-band and knowledge based is required for dynamic studies. This paper introduces a novel modeling approach based on scale invariance to build an approximation of the frequency response of power systems. This approach combines an asymptotic and a resonant model. Both use the spectral dimension of the network which is a key parameter to describe its scale invariance. The resonant model is identified by using an improved vector fitting method. The improvement consists in a guess of the initial poles used for the identification which is deduced from the scale invariant distribution of the dynamic modes of the network. An application to an IEEE test transmission system is finally shown.
机译:电力网络是由许多异构且相互作用的组件组成的复杂系统。由于电网和通信网络的融合,智能电网甚至变得更加复杂。为了应对这种复杂性,动态研究需要一个尺寸缩小,准确,宽带且基于知识的数学模型。本文介绍了一种基于尺度不变性的新颖建模方法,以建立电力系统频率响应的近似值。这种方法结合了渐近模型和共振模型。两者都使用网络的光谱维度,这是描述其尺度不变性的关键参数。通过使用改进的矢量拟合方法来识别谐振模型。改进在于对用于识别的初始极点的猜测,该极点是根据网络动态模式的尺度不变分布推导出来的。最后显示了对IEEE测试传输系统的应用。

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