电力系统保护与控制2025，Vol.53Issue(24)：65-77,13.DOI:10.19783/j.cnki.pspc.250102
基于矫正窗函数IFFT和最小二乘法的宽频振荡检测方法
Wideband oscillation detection method based on window-adjusted IFFT and least squares algorithm
摘要
Abstract
Accurate estimation of wideband oscillation parameters in power systems can provide essential technical support for oscillation suppression.However,because wideband oscillations share similar frequency ranges with harmonics and interharmonics,extending existing subsynchronous/supersynchronous oscillation estimation to wideband oscillation estimation requires not only overcoming spectrum leakage from the fundamental frequency,but also addressing the coupling and damping characteristics of wideband oscillations.To this end,a window-adjusted interpolated fast Fourier transform(IFFT)and least squares(LS)method are proposed for wideband oscillation estimation.First,the window function is adjusted using a rotation factor,and adjacent spectral-line vector cancellation is applied to obtain interpolated frequency values.Then,based on oscillation characteristics,a peak-extraction function is used to determine the number of components and identify oscillatory components.Finally,LS corrected results are obtained by Taylor series approximation and pseudoinverse matrix solving.Simulation results show that the proposed method can effectively overcome multi-component interference and achieve accurate estimation of random wideband oscillation parameters in the 4 Hz to 2.4 kHz frequency range.关键词
宽频振荡/插值快速傅里叶变换/信号检测/最小二乘/阻尼因子Key words
wideband oscillation/interpolated fast Fourier transform/signal measurement/least squares/damping factor引用本文复制引用
肖先勇,刘子菁,马晓阳,袁泽惠,鄂志君,李树鹏,刘涛..基于矫正窗函数IFFT和最小二乘法的宽频振荡检测方法[J].电力系统保护与控制,2025,53(24):65-77,13.基金项目
This work is supported by the Management Science and Technology Project of the Headquarters of State Grid Corporation of China(No.5100-202312421A-3-2-ZN). 国家电网有限公司总部管理科技项目资助(5100-202312421A-3-2-ZN) （No.5100-202312421A-3-2-ZN）
