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

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

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This paper proposes an empirical wavelet trans-form(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 oscilla-tions.If the presence is established,the signal is decomposed us-ing EWT and the parameters of the mono-components are esti-mated through Yoshida algorithm.The superiority of the pro-posed method is tested using test signals with known parame-ters 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.

Empirical wavelet transform(EWT)sub-syn-chronous oscillationProny-based methodYoshida algorithmvariational mode decompositionphasor measurement unit(PMU)

Joice G.Philip、Jaesung Jung、Ahmet Onen

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Department of Energy Systems Research,Ajou University,Suwon,South Korea

Department of Electrical and Electronic Engineering,Abdullah Gul University,Kayseri,38080,Turkey

De-partment of Electrical and Computer Engineering,College of Engineering,Sul-tan Qaboos University,Al-Khoud,Muscat,Oman

Korea Electric Power CorporationKorea Ministry of Environment(MOE)as Graduate School specialized in Climate Change

R21XO01-38

2024

10.35833/MPCE.2023.000047

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年,卷(期)：2024.12(1)
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