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Harmonic Load Identification Using Complex Independent Component Analysis
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DOI：10.1109/TPWRD.2008.2002968.png)
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Abstract
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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.
Keywords:
Harmonics
independent component analysis (ICA)
load identification
load profile
power systems
state estimation
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