| With the rapidly development of power electronics technology, the non-linear power electronic devices and equipment are widely used in the grid. With the growing types and size of electrical equipment, a large number of harmonics are produced, the power quality is deteriorating and seriously affected the normal operation of power system. In order to control the harmonic level in the utility grid, an "Incentixve Scheme" has been proposed currently,which realized is that responsibility of harmonic pollution would be divided accurately.Independent component analysis (ICA) is a well-known statistical technique for blind source separation. This technique is able to estimate the unobserved signals from the observed mixtures without knowing the way the unobserved signals are mixed. It has been widely used in power system for harmonic analysis. In this paper, this technique be applied to the fast-varying part of the data for estimating the harmonic contributions at the PCC.Firstly, The complex FastICA technique is applied to the harmonic voltage and current measured at the PCC to estimate the parameters of the Northon equivalent circuit model, so the HCs of utility and consumer can be calculated. The proposed method is robust against the background harmonic disturbances. Moreover, the impact of consumer harmonic impedance is appropriately considered in calculations. Then, in this paper, the harmonic contribution of multiple harmonic sources are researched, based on the IEEE 14-bus system. Finally, studied assessment algoritlhm based on improved complex FastICA, considering the influence of measurement error on harmonic contribution. This paper. The improved algorithm eliminates measurement error influence by simulation and then harmonic source and impedance matrix are assessed with conventional FastICA. Assessment results prove that the proposed method can suppress influence of measurement error, improve accuracy of harmonic contribution assessment. |
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