• DocumentCode
    571184
  • Title

    Comparison certainty and uncertainty data to determine the place and capacity distributed generation resources

  • Author

    Goodarzi, H. ; Pazouki, S. ; Haghifam, M-R

  • Author_Institution
    Dept. of Electr. Eng., Islamic Azad Univ., Tehran, Iran
  • fYear
    2012
  • fDate
    29-31 May 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this paper goal, the comparison certainty and uncertainty information to determine the optimal place and capacity distributed generation resources in distribution network. Load uncertainty and desired voltage range has been modeled using fuzzy data theory. The objective function includes loss reduction, improvement of profile index and voltage stability index with their relevant constraints, voltage constraints and transmittable power from the line. Load variation has been shown for three different time durations (peak, offpeak and average). PSO technique has been used to optimize the objective function while Max-Min method has been applied to select the answer. Results produced from the proposed model have been provided on a 33 bus system of IEEE.
  • Keywords
    IEEE standards; distributed power generation; distribution networks; fuzzy set theory; minimax techniques; IEEE 33 bus system; distributed generation resources; distribution network; fuzzy data theory; max-min method; profile index; uncertainty data; voltage constraints; voltage stability index; Distributed power generation; Indexes; Linear programming; Load modeling; Stability criteria; Uncertainty; load uncertainty; locating distributed generation; loss; voltage profile index; voltage stability index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energytech, 2012 IEEE
  • Conference_Location
    Cleveland, OH
  • Print_ISBN
    978-1-4673-1836-5
  • Electronic_ISBN
    978-1-4673-1834-1
  • Type

    conf

  • DOI
    10.1109/EnergyTech.2012.6304686
  • Filename
    6304686