• DocumentCode
    2670694
  • Title

    Streamlined Method for Determining Distribution System Hosting Capacity

  • Author

    Rylander, Matthew ; Smith, Jeff ; Sunderman, Wes

  • Author_Institution
    Electr. Power Res. Inst., Knoxville, TN, USA
  • fYear
    2015
  • fDate
    19-21 April 2015
  • Firstpage
    3
  • Lastpage
    9
  • Abstract
    This document outlines the methodology of a streamlined analysis to determine the amount of photovoltaics that can be accommodated on a distribution feeder before adverse impacts occur (commonly termed hosting capacity). The solution can effectively be used in screening new interconnection requests as well as to estimate how much and where PV can be located such that grid upgrades are minimized. The method is being implemented in commercial distribution system analysis tools where it can be applied system-wide or on individual feeders. The streamlined analysis of an individual feeder would take in the order of minutes compared to hours for a detailed analysis. Application of the results include improved screening tools, visualization of hosting capacity constrained feeders, and identification of problematic locations within a feeder. Speed and accuracy are mandatory, thus the methodology has been compared and validated to detailed analyses.
  • Keywords
    data visualisation; photovoltaic power systems; power distribution planning; power system analysis computing; distribution feeder; distribution system hosting capacity determination; hosting capacity constrained feeder visualization; photovoltaics; problematic location identification; screening tools; streamlined method; utility planning; Aggregates; Correlation; Market research; Resistance; Substations; Voltage control; Distribution; Hosting; Methods; Photovoltaics; Software;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Rural Electric Power Conference (REPC), 2015 IEEE
  • Conference_Location
    Asheville, NC
  • ISSN
    0734-7464
  • Print_ISBN
    978-1-4799-7555-6
  • Type

    conf

  • DOI
    10.1109/REPC.2015.11
  • Filename
    7106304