Paper Info
Title
Improved Parameter Identification Method for Envelope Current Signals Based on Windowed Interpolation FFT and DE Algorithm.
Abstract
Envelope current signals are increasingly emerging in power systems, and their parameter identification is particularly necessary for accurate measurement of electrical energy. In order to analyze the envelope current signal, the harmonic parameters, as well as the envelope parameters, need to be calculated. The interpolation fast Fourier transform (FFT) is a widely used approach which can estimate the signal frequency with high precision, but it cannot calculate the envelope parameters of the signal. Therefore, this paper proposes an improved method based on windowed interpolation FFT (WIFFT) and differential evolution (DE). The amplitude and phase parameters obtained through WIFFT and the envelope parameters estimated by the envelope analysis are optimized using the DE algorithm, which makes full use of the performance advantage of DE. The simulation results show that the proposed method can improve the accuracy of the harmonic parameters and the envelope parameter significantly. In addition, it has good anti-noise ability and high precision.
Year
DOI
Venue
2018
10.3390/a11080113
ALGORITHMS
Keywords
Field
DocType
envelope signal,windowed interpolation,differential evolution,parameter identification
Interpolation,Signal frequency,Electric power system,Harmonic,Electric potential energy,Algorithm,Differential evolution,Fast Fourier transform,Amplitude,Mathematics
Journal
Volume
Issue
ISSN
11
8
1999-4893
Citations 
PageRank 
References 
0
0.34
6
Authors
5
Name
Order
Citations
PageRank
Xiangfeng Su100.34
Huaiqing Zhang255.52
Lin Chen300.34
Ling Qin4104.34
Lili Yu500.68