Title :
Impact of Sample Size on ICA-Based Harmonic Source Estimation
Author :
E. Gursoy;D. Niebur
Author_Institution :
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA
fDate :
6/27/1905 12:00:00 AM
Abstract :
In this paper, we investigate the effect of sample size to the estimation of harmonic sources in electric power systems. A blind source separation technique called independent component analysis (ICA) is used to estimate the load profiles of harmonic sources. The ICA algorithm is based on the statistical independence of loads. Results are obtained for several sample sizes. Simulation results show that ICA is able to estimate the sources without the knowledge of network topology or parameters even for the small sample sizes
Keywords :
"Power system harmonics","Independent component analysis","Blind source separation","State estimation","Power system reliability","Power system simulation","Network topology","Distortion measurement","Phase measurement","Power system analysis computing"
Conference_Titel :
Intelligent Systems Application to Power Systems, 2005. Proceedings of the 13th International Conference on
Print_ISBN :
1-59975-174-7
DOI :
10.1109/ISAP.2005.1599251
