Journal article
Harmonic Load Identification Using Complex Independent Component Analysis
IEEE transactions on power delivery, v 24(1), pp 285-292
01 Jan 2009
Featured in Collection : UN Sustainable Development Goals @ Drexel
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 signal-processing 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.
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Details
- Title
- Harmonic Load Identification Using Complex Independent Component Analysis
- Creators
- Ekrem Gursoy - Gen. Electr. Co., Schenectady, NYDagmar Niebur - Drexel University
- Publication Details
- IEEE transactions on power delivery, v 24(1), pp 285-292
- Publisher
- IEEE
- Number of pages
- 8
- Grant note
- 9985119 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000262260800035
- Scopus ID
- 2-s2.0-58249132965
- Other Identifier
- 991019168415004721
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- Web of Science research areas
- Engineering, Electrical & Electronic