Application of Independent Component Analysis on Harmonic Source Identification
Yang Zhiping · Proceedings of the Chinese Society of Universities for Electric Power System and its Automation · 2012
Aiming at the difficulty of how to determine the harmonic pollution liability and governance responsibility in the power system,an approach to harmonic source identification using independent component analysis(ICA) was proposed in this paper.AS the advantage that ICA can separate mutual-independent source signals from their linear mixture,harmonic sources can be seen as mutual-independent source signals.With the voltage signals of their mixture calculated and the signals corresponding to the harmonic sources separated,the harmonic source identification can be completed.Matlab simulations about electric arc furnace and saturation transformer show that the proposed method can detect and recognize various harmonic sources effectively.