• DocumentCode
    1953265
  • Title

    Prediction of PV power quality: Total harmonic distortion of current

  • Author

    Rodway, James ; Musilek, Petr ; Misak, S. ; Prokop, Lukas

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
  • fYear
    2013
  • fDate
    21-23 Aug. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With the growing amount of renewable energy sources being connected to the grid, issues concerning the power quality are becoming increasingly important. This is due to the distributed nature of these power sources and to their higher variability when compared to more traditional sources. For photovoltaic sources, total harmonic distortion of current is one of the main power quality parameter closely related to solar irradiance. This work explores this relationship and employs computational intelligence techniques in order to predict current distortion values. Preliminary results confirm the possibility to capture these relationships and predict occurrence of power quality issues ahead of time.
  • Keywords
    harmonic distortion; photovoltaic power systems; power grids; power supply quality; power system harmonics; PV power quality prediction; computational intelligence techniques; current distortion value prediction; photovoltaic sources; power quality parameter; power sources; renewable energy sources; solar irradiance; total current harmonic distortion; Harmonic analysis; IEEE standards; Neural networks; Power quality; Power system harmonics; Total harmonic distortion; Renewable energy; power quality; prediction; variability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Power & Energy Conference (EPEC), 2013 IEEE
  • Conference_Location
    Halifax, NS
  • Print_ISBN
    978-1-4799-0105-0
  • Type

    conf

  • DOI
    10.1109/EPEC.2013.6802926
  • Filename
    6802926