电力系统保护与控制2017，Vol.45Issue(22)：102-109,8.DOI:10.7667/PSPC161821
利用随机响应的低频振荡模式估计方法比较分析
Comparison analysis for low-frequency oscillation mode estimation method using stochastic responses
摘要
Abstract
Stochastic responses in power systems contain mode information of low-frequency oscillations. This paper compares three methods: Auto-Correlation analysis (AC), Natural Excitation Technique (NExT) and Random Decrement Technique (RDT), which are applied to extract system free oscillation response from stochastic response, and then estimates mode frequencies and damping ratios using Eigensystem Realization Algorithm (ERA). Monte Carlo simulations are carried out in the four-generator two-area system and the New England system, and the estimation performance and applicability of the three methods are compared and analyzed from the aspects of length of time window, noise level, mode damping condition and multi-channel stochastic responses. Simulation results show that the extraction of free response by means of AC has better adaptability, and the mode estimation results are more accurate than the methods based on NExT and RDT.关键词
低频振荡/随机响应/模式估计/自相关分析/随机减量技术/自然激励技术Key words
low frequency oscillations/stochastic response/mode estimation/auto-correlation analysis/random decrement technique/natural excitation technique引用本文复制引用
杨健维,贾勇,何正友,符玲..利用随机响应的低频振荡模式估计方法比较分析[J].电力系统保护与控制,2017,45(22):102-109,8.基金项目
中国铁路总公司科技研究开发计划课题(2015J008-D) （2015J008-D）
四川省科技厅国际合作计划(2015HH0055) （2015HH0055）
