The Effects of Forced Oscillation Frequency Estimation Error on the LS-ARMA+S Mode Meter
The Effects of Forced Oscillation Frequency Estimation Error on the LS-ARMA+S Mode Meter
复制标题
强制振荡频率估计误差对 LS-ARMA S 模式测量仪的影响
DOI：
10.1109/tpwrs.2020.2965765
复制
发表时间：
2020
影响因子：
6.6
通讯作者：
L. Dosiek
中科院分区：
文献类型：
--
作者：
L. Dosiek
最小二乘自回归移动平均加正弦曲线（ls-arma+s）模式计已被证明是成功地估计电力系统机电模式没有偏见的强迫振荡（FO）的存在。为了做到这一点，需要了解FO频率，这是作为基于周期图的FO检测方案的副产品来估计的。以前的工作没有完全解决FO频率估计误差对LS-ARMA+S有效性的影响。这封信表明，如果一个FO足够强大，它的频率必须以极大的准确性估计，现有的技术可能无法实现。这里，它表明，易于实现的替代频率估计算法可以克服这一点，导致建议，对于任何未来使用的LS-ARMA+S模式表，FO频率估计与算法分开，这是用于FO检测。
The least squares autoregressive moving average plus sinusoids (ls-arma+s) mode meter has been previously shown to successfully estimate power system electromechanical modes without bias in the presence of a forced oscillation (FO). In order to do this, it requires knowledge of the FO frequency, which is estimated as a byproduct of the periodogram-based FO detection scheme. Previous work has not fully addressed the effect that FO frequency estimation error has on the effectiveness of LS-ARMA+S. This letter demonstrates that if a FO is powerful enough, its frequency must be estimated with immense accuracy, something that the existing technique may not be able to achieve. Here it is demonstrated that easy-to-implement alternative frequency estimation algorithms can overcome this, resulting in the recommendation that for any future use of the LS-ARMA+S mode meter, the FO frequency be estimated with an algorithm separate from that which is used for FO detection.
影响因子：
9.6
作者：
Wu, Tianying;Venkatasubramanian, Vaithianathan (Mani);Pothen, Alex
通讯作者：
Pothen, Alex