• DocumentCode
    1927670
  • Title

    FastICA techniques for load profiles estimation

  • Author

    Hussain, M.M. ; Zakaria, Zuhaina Hj ; Serwan, Salleh

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
  • fYear
    2012
  • fDate
    23-26 Sept. 2012
  • Firstpage
    161
  • Lastpage
    166
  • Abstract
    The objective of this research is to employ Independent Component Analysis (ICA) for electrical load profiles estimation to ensure proper power usage measurement of the customers. ICA technique is able to separate the mixed signal into their source signals. Using this method, the load profiles on feeder distribution can be estimated without any knowledge of the network topology and electrical parameters. In addition, a real-time load profiles on feeder distribution can be established instead of load modeling technique by using incoming distribution feeder data profiles. The estimation quality is verified by using error measures of the load profiles. Simulation results and errors of estimations are discussed in this paper.
  • Keywords
    independent component analysis; load (electric); power measurement; power system state estimation; source separation; ICA technique; distribution feeder data profile; electrical load profile estimation; error measure; independent component analysis; load modeling technique; mixed signal separation; power usage measurement; source signal; Automated Meter Reading; Data Logger; Independent Component Analysis (ICA); Load profiles; Principle Component Analysis (PCA); feeder distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ISIEA), 2012 IEEE Symposium on
  • Conference_Location
    Bandung
  • Print_ISBN
    978-1-4673-3004-6
  • Type

    conf

  • DOI
    10.1109/ISIEA.2012.6496620
  • Filename
    6496620