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Assessing the Applicability of Uncertainty Importance Measures for Power System Studies

机译:评估不确定性重要措施在电力系统研究中的适用性

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This paper critically evaluates a number of uncertainty importance measures for use in power system stability studies. Sensitivity analysis of uncertain system parameters is vital as new technologies proliferate and the total level of system uncertainty grows. Accurate assessment of the importance of different uncertainties can guide power system operators towards parameters which will require the greatest levels of mitigation or increased monitoring in order to reduce the uncertainty and its subsequent impact. Local and global sensitivity analysis techniques are described and evaluated within this paper, including nonparametric methods, variance-based approaches, and distribution-based techniques. The techniques are illustrated using a large 295-bus realistic network model of a generic distribution system. Numerical experiments on dynamic models are used in order to assess the impact of uncertainties on the mitigation of system frequency excursions using single-site and distributed energy storage devices.
机译:本文严格评估了用于电力系统稳定性研究的许多不确定性重要度。随着新技术的普及和系统不确定性的总体水平的提高,不确定性系统参数的灵敏度分析至关重要。准确评估不同不确定性的重要性可以指导电力系统运营商确定参数,这些参数将需要最大程度的缓解或增强监控,以减少不确定性及其后续影响。本文对局部和全局敏感性分析技术进行了描述和评估,包括非参数方法,基于方差的方法和基于分布的技术。使用通用配电系统的大型295总线现实网络模型对这些技术进行了说明。为了评估不确定性对使用单站点和分布式储能设备缓解系统频率偏移的影响,使用了动态模型的数值实验。

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