NDLI: Interharmonic estimation based on complex valued independent component analysis

Content Provider	IEEE Xplore Digital Library
Author	Zhao Liquan Jia Yanfei
Copyright Year	2010
Description	Author affiliation: College of Electric and Information Engineering, Bei Hua University, Jilin. China (Jia Yanfei) \|\| College of Information Engineering, Northeast Dianli University, Jilin. China (Zhao Liquan)
Abstract	To improve the resolution and accuracy of interharmonic estimation, we propose a new interharmonic estimation algorithm. The new algorithm is based on complex valued Independent Component Analysis (ICA) technique that has been used widely in solving blind source separation of complex valued signal. Due to the problem that the interharmonic model is different from complex valued ICA model, so we fist establish the complex valued ICA model of interharmonics in complex domain by setting time delay. Then we change the interharmonic estimation problem into the blind source separation of complex valued signal and apply complex valued ICA technique to solve the problem and estimate the interharmonic components. Simulation results show that the new algorithm has higher resolution and more accurate than traditional interharmonic estimation algorithms. Especially, it does not require singular value decomposition and eigenvalue decomposition, so its computational complexity is lower than the interharmonic estimation algorithm based on them.
Starting Page	248
Ending Page	251
File Size	604025
Page Count	4
File Format	PDF
ISBN	9781424458509
e-ISBN	9781424458493
DOI	10.1109/WCINS.2010.5541930
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Power quality Independent component analysis Interharmonic estimation Power system harmonics Educational institutions Frequency estimation Eigenvalues and eigenfunctions Blind source separation Multiple signal classification Computational complexity Power harmonic filters Signal resolution
Content Type	Text
Resource Type	Article

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