• DocumentCode
    3621058
  • 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
  • fYear
    2005
  • fDate
    6/27/1905 12:00:00 AM
  • Firstpage
    123
  • Lastpage
    127
  • 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"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Application to Power Systems, 2005. Proceedings of the 13th International Conference on
  • Print_ISBN
    1-59975-174-7
  • Type

    conf

  • DOI
    10.1109/ISAP.2005.1599251
  • Filename
    1599251
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3621058