论文标题
功率系统参数估计中最佳实验设计的近似值
Approximations for Optimal Experimental Design in Power System Parameter Estimation
论文作者
论文摘要
本文是关于用于电源系统参数估计和最佳实验设计（OED）的计算方法。在这里，主要动机是OED有可能显着提高电源系统参数估计的准确性，例如，如果只有几批数据可用。但是，问题在于，解决较大功率网格的确切OED问题被证明在计算上是昂贵的，而且在许多情况下，甚至在计算上也很棘手。因此，本文提出了三种数值近似技术，从而增加了OED对功率系统的计算障碍。这些近似技术是在5个公共汽车和14个总体案例研究上标记的。
This paper is about computationally tractable methods for power system parameter estimation and Optimal Experiment Design (OED). Here, the main motivation is that OED has the potential to significantly increase the accuracy of power system parameter estimates, for example, if only a few batches of data are available. The problem is, however, that solving the exact OED problem for larger power grids turns out to be computationally expensive and, in many cases, even computationally intractable. Therefore, the present paper proposes three numerical approximation techniques, which increase the computational tractability of OED for power systems. These approximation techniques are bench-marked on a 5-bus and a 14-bus case studies.
