Harmonic / Interharmonic Spectrum Separation Algorithm Based on Fast Independent Component Analysis

被引：0

作者：

Du W. ^{[1
]}

Yang H. ^{[1
]}

Ma X. ^{[1
]}

机构：

[1] School of Electrical Engineering, Sichuan University, Chengdu

来源：

Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2020年 / 44卷 / 13期

基金：

中国国家自然科学基金;

关键词：

Fast independent component analysis (FastICA); Interharmonic; Least squares method; Multi-frequency component; Spectrum separation;

D O I：

10.7500/AEPS20190812007

中图分类号：

学科分类号：

摘要：

Under the condition of asynchronous sampling, if the harmonics and interharmonics in the sampling signals of power grid are adjacent, serious spectrum interference will occur. The actual frequency components of the signals cannot be identified. Therefore, a spectrum separation algorithm based on fast independent component analysis (FastICA) is proposed to measure harmonic and interharmonic parameters. Firstly, the model of multi-frequency components is constructed. Spectral lines in the spectrum are represented as the superposition of multiple frequency components. Secondly, frequency component parameters are obtained by using FastICA and least squares method. Finally, the measurement of adjacent multi-frequency components is realized. The simulation results show that the algorithm can accurately identify the frequency components with a small number of required spectral lines, and has good measurement accuracy and certain anti-noise ability. © 2020 Automation of Electric Power Systems Press.

引用

页码：115 / 122

页数：7

共 21 条

[1]

WEN H, DAI H, TENG Z, Et al., Performance comparison of windowed interpolation FFT and quasisynchronous sampling algorithm for frequency estimation, Mathematical Problems in Engineering

[2]

TANG Li, HU Haitao, LI Zhaoyang, Et al., Harmonic resonance analysis method considering branch type of harmonic source, Automation of Electric Power Systems, 43, 16, pp. 132-140, (2019)

[3]

LI Jianfei, CHEN Longdao, Improved interpolation algorithm applied to power harmonic analysis, Automation of Electric Power Systems, 43, 8, pp. 198-206, (2019)

[4]

ZHANG F, GENG Z, YUAN W., The algorithm of interpolating windowed FFT for harmonic analysis of electric power system, IEEE Transactions on Power Delivery, 16, 2, pp. 160-164, (2001)

[5]

QIAN H, ZHAO R, CHEN T., Interharmonics analysis based on interpolating windowed FFT algorithm, IEEE Transactions on Power Delivery, 22, 2, pp. 1064-1069, (2007)

[6]

BELEGA D, DALLET D., Multipoint interpolated DFT method for frequency estimation, 2009 6th International Multi-Conference on Systems, Signals and Devices, (2009)

[7]

WEN H, ZHANG J, MENG Z, Et al., Harmonic estimation using symmetrical interpolation FFT based on triangular self-convolution window, IEEE Transactions on Industrial Informatics, 11, 1, pp. 16-26, (2014)

[8]

WANG Ze, YANG Honggeng, YUAN Xiaodong, Measuring method of haronmics and inter-harmonics with nonsynchronous sampling in IEC framework, Automation of Electric Power Systems, 39, 3, pp. 69-75, (2015)

[9]

SUN Zhongmin, HUANG Jun, YANG Jianwei, Et al., A high accuracy analysis method for harmonics and inter-harmonics in power system based on Dolph-Chebyshev windows, Automation of Electric Power Systems, 39, 7, pp. 117-123, (2015)

[10]

PANG Hao, LI Dongxia, ZU Yunxiao, Et al., An improved algorithm for harmonic analysis of power system using FFT technique, Proceedings of the CSEE, 23, 6, pp. 50-54, (2003)

← 1 2 3 →