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Harmonic Load Identification Using Complex Independent Component Analysis.
- Source :
-
IEEE Transactions on Power Delivery . Jan2009, Vol. 24 Issue 1, p285-292. 8p. 2 Black and White Photographs, 4 Charts, 3 Graphs. - Publication Year :
- 2009
-
Abstract
- Abstract-Due to an increase of power-electronic equipment installation and other harmonic sources, the identification and estimation of harmonic loads are of concern in electric power transmission and distribution systems. Conventional harmonic state estimation requires a redundant number of expensive harmonic measurements. In this paper, we explore the use of a statistical signalprocessing technique, known as independent component analysis (ICA) for harmonic source identification and estimation. If the harmonic currents are statistically independent, ICA is able to estimate the currents using a limited number of harmonic voltage measurements and without any knowledge of the system admittances or topology. The results are presented with computer simulations for the modified IEEE 30-bus test system. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08858977
- Volume :
- 24
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Power Delivery
- Publication Type :
- Academic Journal
- Accession number :
- 39237016
- Full Text :
- https://doi.org/10.1109/TPWRD.2008.2002968