基于经验小波变换的方法，利用 PMU 数据识别和分析次同步振荡模式

IF 5.7 1区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

Journal of Modern Power Systems and Clean Energy Pub Date : 2023-11-29 DOI:10.35833/MPCE.2023.000047

Joice G. Philip;Jaesung Jung;Ahmet Onen

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引用次数: 0

摘要

本文提出了一种基于经验小波变换（EWT）的方法，利用相位测量单元（PMU）数据识别和分析电力系统中的次同步振荡（SSO）模式。对 PMU 的相位进行预处理，以检查是否存在振荡。如果确定存在振荡，则使用 EWT 对信号进行分解，并通过 Yoshida 算法估算单分量的参数。使用已知参数的测试信号测试了所提方法的优越性，并使用中国西北部哈密电网的实际 SSO 信号进行了模拟。结果表明，所提出的 EWT-Yoshida 方法在检测 SSO 及其参数估计方面非常有效。

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

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.

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来源期刊

Journal of Modern Power Systems and Clean Energy ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

12.30

自引率

14.30%

发文量

审稿时长

13 weeks

期刊介绍： Journal of Modern Power Systems and Clean Energy (MPCE), commencing from June, 2013, is a newly established, peer-reviewed and quarterly published journal in English. It is the first international power engineering journal originated in mainland China. MPCE publishes original papers, short letters and review articles in the field of modern power systems with focus on smart grid technology and renewable energy integration, etc.