Title :
Improved fast-ICA based harmonic detection algorithm
Author :
Guo Song-lin ; Wang Jing-yu
Author_Institution :
Coll. of Electr. & Inf. Eng., Heilongjiang Inst. of Sci. & Technol., Harbin, China
Abstract :
In order to increase the speed and accuracy of Fast-ICA algorithm on harmonic detection. The original Fast-ICA blind source separation algorithm had been improved so that iterations had been reduced; the convergence rate of the algorithm had been raised, as well as the mathematical justification and simulation study had been conducted. The study had showed that the algorithm average speed increased by 37% for the simple harmonic mixed signal and approximate the harmonic wave in the power grid signal detection, in sampling frequency for 7500 Hz, sampling points for 920 point. The algorithm reduce the iteration times and improve the algorithm convergence speed, accuracy has been improved greatly.
Keywords :
independent component analysis; power grids; power system harmonics; signal detection; algorithm average speed; algorithm convergence speed; blind source separation algorithm; fast-ICA algorithm; harmonic detection; harmonic mixed signal; harmonic wave; iteration times; power grid signal detection; BSS; Fast-ICA; electric harmonic;
Conference_Titel :
Measurement, Information and Control (ICMIC), 2013 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4799-1390-9
DOI :
10.1109/MIC.2013.6758195