Conference proceeding
Impact of Sample Size on ICA-Based Harmonic Source Estimation
Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems, pp 123-127
2005
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
Metrics
11 Record Views
12 citations in Scopus
Details
- Title
- Impact of Sample Size on ICA-Based Harmonic Source Estimation
- Creators
- E Gursoy - Drexel UniversityD Niebur - Drexel University
- Publication Details
- Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems, pp 123-127
- Conference
- 13th International Conference on, Intelligent Systems Application to Power Systems, 13th
- Publisher
- IEEE
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Scopus ID
- 2-s2.0-33847350637
- Other Identifier
- 991019173856304721