Empirical Wavelet Transform Based Method for Identification and Analysis of Sub-synchronous Oscillation Modes Using PMU Data  

作　　者：Joice G.Philip Jaesung Jung Ahmet Onen 

机构地区：[1]the Department of Energy Systems Research,Ajou University,Suwon,South Korea [2]the Department of Electrical and Electronic Engineering,Abdullah Gul University,Kayseri,38080,Turkey [3]the Department of Electrical and Computer Engineering,College of Engineering,Sultan Qaboos University,Al-Khoud,Muscat,Oman

出　　处：《Journal of Modern Power Systems and Clean Energy》2024年第1期34-40,共7页现代电力系统与清洁能源学报（英文）

基　　金：supported by Korea Electric Power Corporation(No.R21XO01-38);Korea Ministry of Environment(MOE)as Graduate School specialized in Climate Change.

摘　　要：This paper proposes an empirical wavelet transform(EWT)based method for identification and analysis of sub-synchronous oscillation(SSO)modes in the power system using phasor measurement unit(PMU)data.The phasors from PMUs are preprocessed to check for the presence of oscillations.If the presence is established,the signal is decomposed using EWT and the parameters of the mono-components are estimated through Yoshida algorithm.The superiority of the proposed method is tested using test signals with known parameters and simulated using actual SSO signals from the Hami Power Grid in Northwest China.Results show the effectiveness of the proposed EWT-Yoshida method in detecting the SSO and estimating its parameters.

关 键 词：Empirical wavelet transform(EWT) sub-synchronous oscillation Prony-based method Yoshida algorithm variational mode decomposition phasor measurement unit(PMU) 

分 类 号：TM712[电气工程—电力系统及自动化]