Publication Type : Conference Paper
Publisher : ICSCCN-2011
Source : 2011 - International Conference on Signal Processing, Communication, Computing and Networking Technologies, ICSCCN-2011, Thuckalay, p.116-120 (2011)
Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-80053623587&partnerID=40&md5=03c8e2bd4083a01fa98c8638382b8790
ISBN : 9781612846538
Keywords : Blind signal processing, Blind source separation, Bus systems, Communication, Electric power systems, Estimation, FastICA, Feature extraction, Generation of harmonics, Harmonic analysis, Harmonic currents, Harmonic state estimation, Image processing, Image processing applications, Nonlinear load, Performance evaluation, Separation, Source separation, State estimation
Campus : Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Year : 2011
Abstract : Blind Source Separation methods are used for feature extraction in biomedical and image processing applications. An increased use of non-linear loads results in generation of harmonics, which cannot be easily identified in electric power systems. Using blind source separation methods like fastICA and efficient fastICA the harmonic currents are estimated in an interconnected system. In this work, a performance evaluation between these two methods for harmonic state estimation is done in the form of recording and analyzing the miniscule error that exists between the actual and estimated harmonic currents. The graphical results of a simple five bus system for the two methods are also discussed. © 2011 IEEE.
Cite this Research Publication : Supriya P. and T. N. Padmanabha Nambiar, “Harmonic current estimation using blind signal processing techniques”, in 2011 - International Conference on Signal Processing, Communication, Computing and Networking Technologies, ICSCCN-2011, Thuckalay, 2011, pp. 116-120.