• DocumentCode
    735767
  • Title

    PV penetration scenario generator based on maximum hosting capacity and statistic data

  • Author

    Stifter, Matthias ; Zehetbauer, Paul ; Bletterie, Benoit

  • Author_Institution
    Electric Energy Systems, Energy Department AIT Austrian Institute of Technology, Vienna, Austria
  • fYear
    2015
  • fDate
    June 29 2015-July 2 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Increasing photovoltaic (PV) penetration is a major driver for developing new methods to integrate renewable generation into distribution systems. For planning of low voltage distribution networks future share of penetrations have to be modeled in an appropriate way, to simulate and analyze the impact of PV generation. Different approaches to model high penetration scenarios - in particular defining certain penetration levels e.g., 50% or 100% - are analyzed and shortcomings described. Based on the maximum hosting capacity (HC) of a network, a penetration scenario generator is presented which takes realistic PV system sizes, roof sizes at placement positions and network constraints into account. An implementation for PowerFactory (network analysis software) and results for four low voltage networks are demonstrated.
  • Keywords
    Concurrent computing; Data models; Energy consumption; Generators; Low voltage; Photovoltaic systems; Voltage control; PV penetration; hosting capacity; low voltage networks; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PowerTech, 2015 IEEE Eindhoven
  • Conference_Location
    Eindhoven, Netherlands
  • Type

    conf

  • DOI
    10.1109/PTC.2015.7232694
  • Filename
    7232694