Power harmonic and interharmonic detection method in renewable power based on Nuttall double-window all-phase FFT algorithm

Harmonics and interharmonics adversely affect power grids. The fast Fourier transform (FFT) algorithm is one of the most commonly used methods for harmonic analysis. However, in practical applications, the accuracy of harmonic analysis can be seriously affected by fence effect and spectral leakage,...

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Bibliographic Details
Published in:IET renewable power generation Vol. 12; no. 8; pp. 953 - 961
Main Authors: Su, Taixin, Yang, Mingfa, Jin, Tao, Flesch, Rodolfo César Costa
Format: Journal Article
Language:English
Published: The Institution of Engineering and Technology 11.06.2018
Subjects:
all‐phase spectrum analysis
discrete Fourier transforms
fast Fourier transform algorithm
fast Fourier transforms
fence effect
harmonic analysis
interharmonic identification
measurement precision
nonsynchronous sampling
Nuttall double‐window all‐phase FFT algorithm
phase invariance characteristics
phase measurement
power grids
power harmonic detection method
power interharmonic detection method
power system harmonics
renewable power
Research Article
signal sampling
spectral analysis
spectral leakage suppression
spectrum correction method
window function
power system harmonics
fast Fourier transforms
discrete Fourier transforms
nonsynchronous sampling
spectral leakage suppression
phase invariance characteristics
phase measurement
spectral analysis
power interharmonic detection method
fence effect
harmonic analysis
measurement precision
all-phase spectrum analysis
renewable power
interharmonic identification
power harmonic detection method
signal sampling
window function
fast Fourier transform algorithm
Nuttall double-window all-phase FFT algorithm
power grids
spectrum correction method
ISSN:1752-1416, 1752-1424, 1752-1424
Online Access:Get full text
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Description
Summary:Harmonics and interharmonics adversely affect power grids. The fast Fourier transform (FFT) algorithm is one of the most commonly used methods for harmonic analysis. However, in practical applications, the accuracy of harmonic analysis can be seriously affected by fence effect and spectral leakage, which are undesired characteristics inherent to discrete Fourier transforms. Moreover, when non-synchronous sampling is carried out, the phase measurement is not accurate enough, and there is a large error in the identification of interharmonics. In order to improve the measurement precision, the method of all-phase spectrum analysis is used, since it has the characteristics of phase invariance and good spectral leakage suppression. A novel method based on improved Nuttall double-window all-phase FFT is proposed by improving the window function and the spectrum correction method for achieving higher precision. Through simulation and experimental verification, the proposed algorithm has proven to perform better than the traditional algorithms both for the detection of harmonics and interharmonics. In addition, the computation burden is not considerably increased when compared to such algorithms, which allows the on-line use of the proposed algorithm.
ISSN:1752-1416
1752-1424
1752-1424
DOI:10.1049/iet-rpg.2017.0115