论文标题
通过低级张量进行负载建模的全局灵敏度分析
Global Sensitivity Analysis in Load Modeling via Low-rank Tensor
论文作者
论文摘要
负载模型中增长的模型复杂性在参数估计中产生了很高的维度，从而大大增加了相关的计算成本。在本文中，提出了一种基于张量的方法来识别复合载荷建模（CLM）参数并进行全局灵敏度分析。张量格式和Fokker-Planck方程用于在其完整参数分布范围内同时改变参数的情况下估计CLM的功率输出响应。所提出的张量结构化显示可有效解决高维参数估计以及通过全局灵敏度分析在负载建模中改善计算性能。
Growing model complexities in load modeling have created high dimensionality in parameter estimations, and thereby substantially increasing associated computational costs. In this paper, a tensor-based method is proposed for identifying composite load modeling (CLM) parameters and for conducting a global sensitivity analysis. Tensor format and Fokker-Planck equations are used to estimate the power output response of CLM in the context of simultaneously varying parameters under their full parameter distribution ranges. The proposed tensor structured is shown as effective for tackling high-dimensional parameter estimation and for improving computational performances in load modeling through global sensitivity analysis.
