Open AccessA Measurement Method for Wide-frequency Harmonic Signal in Power Grid Based on Window Interpolation FFT and RLS-Adaline Neural Network
Author(s) -
Jiawei Peng,
Shuguo Pan,
Wenxiu Wang,
Min Zhang,
Jian Wei Shen,
Gao Wang,
Chenglin Xia
Publication year - 2021
Publication title -
journal of physics: conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
ISSN - 1742-6588
DOI - 10.1088/1742-6596/1920/1/012062
Subject(s) - window function , harmonics , fast fourier transform , interpolation (computer graphics) , harmonic , artificial neural network , computer science , window (computing) , total harmonic distortion , noise (video) , signal (programming language) , algorithm , electronic engineering , power (physics) , control theory (sociology) , acoustics , spectral density , engineering , electrical engineering , voltage , artificial intelligence , telecommunications , physics , motion (physics) , control (management) , quantum mechanics , image (mathematics) , programming language , operating system
With the increase of non-linear loads in power grid and the development of power electronics, the growing serious harmonic pollution has put forward higher requirements for the accuracy and real-time performance of the measurement method. For this problem, this paper proposes a wide-frequency harmonic signal measurement method based on window interpolation FFT and adaptive neural network. After the window function is selected, the frequency of harmonic is estimated by double-spectrum-line interpolation algorithm based on three-term third derivative Nuttall window, and then the smoothed frequencies are input into RLS-Adaline neural network to estimate the amplitude and phase of each harmonic. The simulation results show that the proposed method has higher measurement accuracy and stability under few data conditions and low signal-to-noise ratios than conventional window interpolation algorithms. High accuracy measurement of harmonics with short time window in the range of 0∼2.5kHz is effectively realized.