Fast Uncertainty Quantification of Electromechanical Oscillation Frequency on Varying Generator Damping

作     者：Yongli Zhu Chanan Singh Yongli Zhu;Chanan Singh

作者机构：Department of Electrical and Computer EngineeringTexas A&M UniversityCollege StationTX77840USA 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2023年第11卷第6期

页      面：2043-2048页

核心收录：

学科分类：080801[工学-电机与电器] 0808[工学-电气工程] 08[工学] 

主　　题：Electromechanical oscillation interval analysis Monte Carlo simulation quadratic eigenvalue problem uncertainty quantification 

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.