Assessing the Applicability of Uncertainty Importance Measures for Power System Studies

被引:64
作者
Preece, Robin [1 ]
Milanovic, Jovica V. [1 ]
机构
[1] Univ Manchester, Sch Elect & Elect Engn, Manchester M60 1QD, Lancs, England
基金
英国工程与自然科学研究理事会;
关键词
Energy storage; frequency stability; importance; probabilistic analysis; sensitivity analysis; uncertainty; GLOBAL SENSITIVITY-ANALYSIS; FREQUENCY CONTROL; ENERGY-STORAGE; VOLTAGE COLLAPSE; GENERATION; FRAMEWORK; RANKING; POINTS; DESIGN; MODEL;
D O I
10.1109/TPWRS.2015.2449082
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:2076 / 2084
页数:9
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