Adaptive Parameter Estimation of Power System Dynamic Model Using Modal Information
Adaptive Parameter Estimation of Power System Dynamic Model Using Modal Information
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DOI：
10.1109/tpwrs.2014.2316916
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发表时间：
2014-04
影响因子：
6.6
通讯作者：
Song Guo;S. Norris;J. Bialek
中科院分区：
文献类型：
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作者：
Song Guo;S. Norris;J. Bialek
提出了一种利用广域测量系统(WAMS)获得的动态系统模式(频率和阻尼值)的估计来估计动态系统模型参数的新方法。该参数估计方案基于加权最小二乘(WLS)方法，该方法利用了测量的模态频率和阻尼对参数的灵敏度。本文的重点是估计发电机的惯性值，但所提出的方法是通用的，也可以用来辨识其他发电机参数，如阻尼系数。该方法已经在测量的振荡模式中使用了广泛的精度进行了测试。结果表明，该方法能够较准确地估计出系统的惯性，并能再现电力系统的动态行为。结果表明，阻尼量不影响发电机惯量的估计。该方法通过将参数的假设值作为伪量测，克服了量测少于待估参数时的可观测性问题。
A novel method for estimating parameters of a dynamic system model is presented using estimates of dynamic system modes (frequency and damping) obtained from wide area measurement systems (WAMS). The parameter estimation scheme is based on weighted least squares (WLS) method that utilizes sensitivities of the measured modal frequencies and damping to the parameters. The paper concentrates on estimating the values of generator inertias but the proposed methodology is general and can be used to identify other generator parameters such as damping coefficients. The methodology has been tested using a wide range of accuracy in the measured modes of oscillations. The results suggest that the methodology is capable of estimating accurately inertias and replicating the dynamic behavior of the power system. It has been shown that the damping measurements do not influence estimation of generator inertia. The method has overcome the problem of observability, when there were fewer measurements than the parameters to be estimated, by including the assumed values of parameters as pseudo-measurements.