电力系统保护与控制2019，Vol.47Issue(2)：1-8,8.DOI:10.7667/PSPC201861
基于变分模态分解的电力系统泛频带振荡辨识方法
VMD based mode identification for broad-band oscillation in power system
摘要
Abstract
Oscillation is one of the most important stability problems of modern power system. In a power system, multiple types of oscillation crossing a broad-band may occur at a same time. In this paper, the mode identification for broad-band oscillation signal is proposed. First, the signal is decomposed to signals of different frequency bands by band pass filters. Then, the mode signals of the decomposed signals are extracted by using Variational Mode Decomposition(VMD)method. The mode parameters can be identified from the mode signals by Prony algorithm. The simulation and case study show that this method can distinguish and extract different kinds of oscillation modes of signals effectively and identify each mode's information accurately. It can accurately identify mode information from both oscillation signal and damped oscillation in ambient noise.关键词
泛频带振荡/模态辨识/变分模态分解(VMD)/电力系统/低频振荡/次同步振荡Key words
broad-band oscillation/mode identification/variational mode decomposition (VMD)/power system/low frequency oscillation/sub-synchronous oscillation引用本文复制引用
汤吉鸿,朱军飞,李勇,左剑,马俊杰,陈崇刚..基于变分模态分解的电力系统泛频带振荡辨识方法[J].电力系统保护与控制,2019,47(2):1-8,8.基金项目
国家自然科学基金项目资助(51520105011) （51520105011）
国网湖南省电力有限公司科技项目资助(5216A5170012). （5216A5170012）
