Can Center-of-Inertia Model be Identified From Ambient Frequency Measurements?
Can Center-of-Inertia Model be Identified From Ambient Frequency Measurements?
复制标题
可以根据环境频率测量来识别惯性中心模型吗？
DOI：
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发表时间：
2022
影响因子：
6.6
通讯作者：
P. Vorobev
中科院分区：
文献类型：
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作者：
A. Gorbunov;J. Peng;J. Bialek;P. Vorobev
本文分析了使用惯性中心（CoI）系统模型估计环境条件下电力系统惯性的困难。我们表明，这样做的主要障碍是难以检测频率迹线的功率谱密度（PSD）中的峰值。这是由于两个因素的结合：(i)具有高均值回归时间的Ornstein-Uhlenbeck （OU）过程，它模拟负载扰动，在数学上相当于具有高时间常数的低通滤波器；（ii） CoI主导模式是高度阻尼的。这一观察结果也解释了为什么可以通过利用比CoI模型的主导模式具有更低阻尼的区域间振荡信息，利用广域PMU测量来估计环境条件下的系统惯性。我们通过使用2019年1月1日00:00至02:00英国实际2小时频率轨迹的PSD验证了这些发现。
This letter analyzes the difficulty of estimating power system inertia under ambient conditions using the Center-of-Inertia (CoI) system model. We show that the main obstacle to doing this is a difficulty in detecting a peak in the Power Spectral Density (PSD) of the frequency trace. This is due to a combination of two factors: (i) the Ornstein-Uhlenbeck (OU) process with a high mean-reversion time, which models the load disturbance and is mathematically equivalent to a low-pass filter with a high time constant; (ii) the CoI dominant mode is highly damped. This observation also explains why it is possible to estimate system inertia under ambient conditions using wide-area PMU measurements by exploiting information about inter-area oscillations which have lower damping than the dominant mode of the CoI model. We validated those findings by using the PSD of the actual 2-hour frequency trace for Great Britain from 00:00 to 02:00 of January 01, 2019.