• DocumentCode
    1180303
  • Title

    A Probabilistic Methodology for Distribution Substation Location

  • Author

    Khodr, H. M. ; Melian, J. A. ; Quiroz, A. J. ; Picado, D. C. ; Yusta, J. M. ; Urdaneta, A. J.

  • Author_Institution
    Universidad Simon Bolivar, Venezuela; AES-Venezuela; Universidad de Zaragoza, Spain
  • Volume
    22
  • Issue
    11
  • fYear
    2002
  • Firstpage
    57
  • Lastpage
    57
  • Abstract
    A probabilistic methodology is presented, conceived to assist electric system planning engineers in the selection of the distribution substation locations, taking into account the hourly load changes or the daily load cycle. The hourly load centers for each of the different hourly load scenarios are calculated deterministically. These location points, properly weighted according to their correspondent load magnitude, are used to calculate the best fit probability distribution. This distribution is used to determine the maximum likelihood perimeter of the area where the substation should preferably be located. Results are presented and discussed for the application of the methodology to a real case, assuming three different bivariate probability distributions: the Gaussian distribution, a bivariate version of Freund´s exponential distribution, and the Weibull probability distribution.
  • Keywords
    Data visualization; Power system analysis computing; Power system interconnection; Power system modeling; Power system planning; Power system simulation; Power system stability; Power system transients; Substations; Voltage; Power distribution planning; probability; substations;
  • fLanguage
    English
  • Journal_Title
    Power Engineering Review, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1724
  • Type

    jour

  • DOI
    10.1109/MPER.2002.4311822
  • Filename
    4311822