NDLI: Spectral Correction Approach Based on Desirable Sidelobe Window for Harmonic Analysis of Industrial Power System

Content Provider	IEEE Xplore Digital Library
Author	He Wen Zhaosheng Teng Yong Wang Xiaoguang Hu
Copyright Year	1982
Abstract	A novel approach to harmonic analysis for industrial power systems based on windowed fast Fourier transform is presented. First, the desirable sidelobe window (DSW) is constructed through self-convolution of the maximum decay sidelobe window (MDW) in the time domain. Then, the power system signal parameters, i.e., frequency, phase, and amplitude, are calculated by the DSW-based discrete phase difference correction algorithm. It has been shown that the spectral leakage and harmonic interferences can be reduced considerably by weighting samples with the DSW because of its good sidelobe behaviors, i.e., the peak sidelobe level and the sidelobe rolloff rate are proportional to the order of the window (or the times of self-convolution). The DSW-based discrete phase difference correction algorithm can be easily implemented in embedded systems due to the low computation burden. Both simulative and experiment data tests have been performed to verify the effectiveness and practicability of the proposed method.
Sponsorship	IEEE Industrial Electronics Society
Starting Page	1001
Ending Page	1010
Page Count	10
File Size	681741
File Format	PDF
ISSN	02780046
Volume Number	60
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Harmonic analysis Algorithm design and analysis Discrete Fourier transforms Power harmonic filters Voltage measurement windowed fast Fourier transform (FFT) phase difference correction picket fence effect spectral leakage
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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