Power system low frequency oscillation modal identification based on a tunable Q-factor wavelet transform and sparse time domain method

被引：0

作者：

Zhang C. ^{[1
,2
]}

Qiu B. ^{[1
]}

机构：

[1] School of Electronic Electrical and Physics, Fujian University of Technology, Fuzhou

[2] Fujian Provincal University, Engineering Research Center for Simulation Analysis and Integrated Control of Smart Grid, Fuzhou

来源：

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2022年 / 50卷 / 13期

基金：

中国国家自然科学基金;

关键词：

ITD algorithm; low frequency oscillation; oscillation modal parameters; power system; STD algorithm; TQWT;

D O I：

10.19783/j.cnki.pspc.211208

中图分类号：

学科分类号：

摘要：

There are problems of noise interference in low-frequency oscillation pattern recognition and parameter extraction in a power system. Thus a new method for extracting key modal parameters of low-frequency oscillation is proposed, one which combines a tunable Q factor wavelet transform (TQWT) with a sparse time domain (STD) method. First, TQWT technology is used to preprocess the wide-area measurement signal of low-frequency oscillation in a power system with noise, and then the processed signal is used as a new input signal to identify the oscillation modes and their parameters by an STD algorithm. Then the input signal can be collected by single-point or multi-point measurement. The advantages of the proposed method are verified by simulation of the test signal and a EPRI-36 machine system. It can effectively suppress the noise and accurately identify the oscillation modal parameters of the system in the environment with low signal-to-noise ratio. Compared with the traditional method, it has better anti-noise ability, shorter identification time and more accurate identified parameters. © 2022 Power System Protection and Control Press. All rights reserved.

引用

页码：63 / 72

页数：9

共 25 条

[1]

YANG Lei, HUANG Wei, ZHANG Dan, Et al., Comprehensive suppression strategies of low frequency and ultra-low frequency oscillations of the Yunnan power grid under asynchronous interconnection, Power System Protection and Control, 49, 11, pp. 133-140, (2021)

[2]

ZOU Xiaoming, DU Xiong, TAI Hengming, Stability analysis for direct-drive permanent magnet synchronous generator based wind farm integration system considering wind speed, IET Renewable Power Generation, 14, 11, pp. 1894-1903, (2020)

[3]

XU Yanhui, GENG Yurou, YANG Bowen, Study on the mechanism and influencing factors of subsynchronous oscillations inducted by wind farms in a fossil fuel power plant, Power System Protection and Control, 49, 18, pp. 1-9, (2021)

[4]

XU Guang, FANG Yongjie, LI Zhaowei, Et al., Phenomenon and mechanism of inter-area tie-line power oscillation in ultra-low frequency oscillation, Automation of Electric Power Systems, 44, 17, pp. 69-82, (2020)

[5]

CHEN Gang, LIU Chang, FAN Chengwei, Et al., Research on damping control index of ultra-low-frequency oscillation in hydro-dominant power systems, Sustainability, 12, 18, pp. 7316-7316, (2020)

[6]

DU Wenjuan, BI Jingtian, WANG Haifeng, Et al., Inter-area low-frequency power system oscillations caused by open-loop modal resonance, IET Generation, Transmission & Distribution, 12, 19, pp. 4249-4259, (2018)

[7]

JIANG Tao, LIU Fangzheng, CHEN Houhe, Et al., Cooperated identification method of dominant oscillation modes and mode shapes for power system based on multi-channel fast Fourier transform based continuous wavelet transform, Electric Power Automation Equipment, 39, 7, pp. 125-132, (2019)

[8]

SARMADI S A N, VENKATASUBRAMANIAN V., Electromechanical mode estimation using recursive adaptive stochastic subspace identification, IEEE Transactions on Power Systems, 29, 1, pp. 349-358, (2014)

[9]

LI Shenghu, ZHANG Hao, Sensitivity analysis of the oscillation modes to transfer function of DFIG-PSS in a wind power system, Power System Protection and Control, 48, 16, pp. 11-17, (2020)

[10]

KHALILINIA H, ZHANG L, VENKATASUBRAMANIAN V., Fast frequency-domain decomposition for ambient oscillation monitoring, IEEE Transactions on Power Delivery, 30, 3, pp. 1631-1633, (2015)

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