Strategies for Addressing Forced Oscillations with the Multichannel Least Squares Mode Meter
Strategies for Addressing Forced Oscillations with the Multichannel Least Squares Mode Meter
复制标题
使用多通道最小二乘模式测量仪解决受迫振荡的策略
DOI：
10.1109/pesgm40551.2019.8973844
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
L. Dosiek
中科院分区：
文献类型：
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作者：
L. Dosiek
本文分析了多种策略，以解决强迫振荡（FO）的存在，否则环境数据分析的家庭多通道最小二乘向量自回归移动平均（LS-VARMA）模式米。当不采取任何行动时，它表明，FO可以严重偏置模式估计。为了克服这一点，VARMA模型阶数的增加被用来提高光谱分辨率和减少偏差。或者，开发了LS-VARMA+S模式计，其直接将强迫振荡信息包括到模型中，并且能够估计FO的振荡形状。在一定条件下，LS-VARMA+S模式计与LS-VARMAX模式计是等价的。每一种策略都被认为是通过一个广泛的蒙特卡洛模拟研究，使用miniWECC模型。可以看出，所有的策略都提供了改进，但是LS-ARMA+S方法具有最佳的整体性能，同时也是最复杂的。
This paper analyzes multiple strategies for addressing the presence of forced oscillations (FO) in otherwise ambient data analyzed by the family of multichannel least squares vector autoregressive moving average (LS-VARMA) mode meters. When no action is taken, it is shown that a FO can severely bias mode estimates. To overcome this, an increase in the model order of the VARMA model is used to improve spectral resolution and reduce bias. Alternatively, the LS-VARMA+S mode meter is developed that directly includes forced oscillation information into the model and is able to estimate the oscillation shape of a FO. It is shown that the LS-VARMA+S mode meter is equivalent to the LS-VARMAX mode meter under certain conditions. Each of the strategies are considered through an extensive Monte Carlo simulation study using the miniWECC model. It was seen that all of the strategies provided an improvement, however the LS-ARMA+S approach had the best overall performance while being the most complex.