摘要
针对HHT (Hilbert-Huang Transform)算法在分析含频率相近频率分量的低频振荡信号时会产生模态混叠现象影响分析结果的问题,提出了一种将VMD变分模态分解(Variational Mode Decomposition)算法与希尔伯特Hilbert变换相结合的方法,并利用粒子群算法对VMD算法的参数进行优化选择,经验证该算法较HHT算法更加适用于电力系统低频振荡参数的提取,具有一定的工程应用价值。
Aiming at the problem that the HHT (Hilbert-Huang Transform) algorithm will produce modal aliasing and affect the analysis results when analyzing low-frequency oscillation signals containing frequency components with similar frequencies,a VMD variational modal decomposition (Variational Mode Decomposition) is proposed.Decomposition algorithm and Hilbert transform method,and use particle swarm algorithm to optimize the parameters of VMD algorithm.It has been verified that this algorithm is more suitable for the extraction of low-frequency oscillation parameters of power system than HHT algorithm,and has certain advantages.Engineering application value.
作者
程意平
平海涛
朱亚丽
CHENG Yi-ping;PING Hai-tao;ZHU Ya-li(Henan University of Technology,Jiaozuo,454003,China;State Grid Henan Electric Power Company,Pingdingshan Power Supply Company,Pingdingshan,467000,China)
出处
《江西电力职业技术学院学报》
CAS
2022年第1期7-10,共4页
Journal of Jiangxi Vocational and Technical College of Electricity
关键词
电力系统低频振荡
模态混叠
变分模态分解
希尔伯特变换
Low Frequency Oscillation of Power System
Mode Aliasing
Variational Mode Decomposition
Hilbert Transform
