中国电机工程学报2017，Vol.37Issue(19)：5604-5612,9.DOI:10.13334/j.0258-8013.pcsee.162006
基于滑窗频谱分离算法的基波参数测量
Estimating Fundamental Parameters by Using Sliding-window Spectrum Separation Algorithm
摘要
Abstract
The severe spectrum interferences could occur among fundamental wave,interharmonics and their negative frequency components when the fundamental signal which contains adjacent interharmonics was analyzed by short-time Fourier transform (STFT) under asynchronous sampling condition.Therefore,in order to decompose and measure the fundamental component of the aliasing spectrum,a new fundamental parameter estimation method based on sliding-window spectrum separation and measurement (SSSM) algorithm was proposed.Firstly,multiple frequency signal model was established,and the spectrum separation algorithm was deduced by short time Fourier transform.Then,fundamental component and other components are separated,and the fundamental parameters can be calculated.The method has been verified via a variety of cases,such as voltage fluctuation and spectrum aliasing,the results show that the proposed method can accurately extract the fundamental component with high temporal resolution and parameter measurement accuracy,and has the ability of anti-noise to some extent.In addition,the method can also be applied to identification and measurement of harmonics or interharmonics.关键词
频谱分析/短时傅里叶变换/间谐波/频谱泄露/频谱分离Key words
spectral analysis/short-time Fourier transform/interharmonics/spectral leakage/spectrum separation分类
信息技术与安全科学引用本文复制引用
孙仲民,何正友,臧天磊..基于滑窗频谱分离算法的基波参数测量[J].中国电机工程学报,2017,37(19):5604-5612,9.基金项目
国家杰出青年基金(51525702) （51525702）
高等学校博士学科点专项科研基金资助课题(20130184110002) （20130184110002）
四川省科技支撑计划项目(2016RZ0079).National Natural Science Funds for Distinguished Young Scholar (51525702) （2016RZ0079）
Specialized Research Fund for the Doctoral Program of Higher Education (20130184110002) （20130184110002）
Science and Technology Support Program of Sichuan Province of China(2016RZ0079). （2016RZ0079）
