2009
DOI: 10.1109/tpwrd.2008.2002968
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Harmonic Load Identification Using Complex Independent Component Analysis

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Cited by 99 publications
(42 citation statements)
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“…Also this algorithm can be extended to find the minimum set of measurements to reduce the measurements cost and increase estimation accuracy for the harmonic meter placement problem. Further analysis and research on the topic presented in this chapter is published in [26].…”
Section: Resultsmentioning
confidence: 99%
“…Also this algorithm can be extended to find the minimum set of measurements to reduce the measurements cost and increase estimation accuracy for the harmonic meter placement problem. Further analysis and research on the topic presented in this chapter is published in [26].…”
Section: Resultsmentioning
confidence: 99%
“…As the spectrum of a sinusoidal signal is symmetric around the zero frequency, the factor 2 is necessary in (17). Substituting (14) in (17) and using the Euler's formula, the desired signal f[n], which is the real part of x 1 [n], can be written as:…”
Section: The Notch Filtermentioning
confidence: 99%
“…Substituting (14) in (17) and using the Euler's formula, the desired signal f[n], which is the real part of x 1 [n], can be written as:…”
Section: The Notch Filtermentioning
confidence: 99%
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“…All the above mentioned methods focus on radial distribution systems, and cannot be accurately applied to weakly meshed distribution system which integrates distributed generations (DGs) and bus-tie circuit breakers in the system [10,11]. The commonly used methods for harmonic source localization in transmission systems are such as methods which apply harmonic state estimation (HSE) [12,13], weighted least square estimation (WLSE) [14] and independent component analysis (ICA) [15,16] which require costly measurements, exact knowledge about the system data and complicated calculations. This paper presents an improved method to estimate the location and contribution of harmonic sources in radial and weakly meshed distribution systems.…”
Section: Introductionmentioning
confidence: 99%