Publication Type:

Conference Paper

Source:

2011 - International Conference on Signal Processing, Communication, Computing and Networking Technologies, ICSCCN-2011, Thuckalay, p.116-120 (2011)

ISBN:

9781612846538

URL:

http://www.scopus.com/inward/record.url?eid=2-s2.0-80053623587&partnerID=40&md5=03c8e2bd4083a01fa98c8638382b8790

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

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.

Notes:

cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@27f36d37 ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@5e874a5e Through org.apache.xalan.xsltc.dom.DOMAdapter@42391ce; Conference Code:86851

Cite this Research Publication

P. Supriya and Padmanabhannambiar, T. N., “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.