Fast Uncertainty Quantification of Electromechanical Oscillation Frequency on Varying Generator Damping

被引:1
|
作者
Zhu, Yongli [1 ]
Singh, Chanan [1 ]
机构
[1] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77840 USA
关键词
Electromechanical oscillation; interval analysis; Monte Carlo simulation; quadratic eigenvalue problem; uncertainty quantification; POWER-SYSTEM; IMPROVEMENT;
D O I
10.35833/MPCE.2022.000459
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 letter develops a fast analytical method for uncertainty quantification of electromechanical oscillation frequency due to varying generator dampings. By employing the techniques of matrix determinant reduction, two types of uncertainty analysis are investigated to quantify the impact of the generator damping on electromechanical oscillation frequency, i.e., interval analysis and probabilistic analysis. The proposed analytical frequency estimation formula is verified against conventional methods on two transmission system models. Then, Monte Carlo experiments and interval analysis are respectively conducted to verify the established lower/upper bound formulae and probability distribution formulae. Results demonstrate the accuracy and speed of the proposed method.
引用
收藏
页码:2043 / 2048
页数:6
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