• DocumentCode
    3729732
  • Title

    Real time generation mapping of distributed PV for network planning and operations

  • Author

    Navid Haghdadi;Jonathan Dennis;Anna Bruce;Iain MacGill

  • Author_Institution
    School of Photovoltaic and Renewable Energy, Engineering and Centre for Energy and Environmental Markets, UNSW Australia
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    With growing penetrations of distributed photovoltaic (PV) systems in Australian electricity networks, it is increasingly important for network planners and operators to better understand, predict and hence manage the impact of these systems throughout their networks. Time series estimates of distributed PV generation mapped to different Australian geographic regions are now being created from a sample of these distributed PV systems that report their generation in near real time. In this paper a range of potential applications of these spatial PV generation traces are discussed, with a focus on their potential contribution towards transmission network planning and operations. These include estimating the impact of PV on peak demand, load forecasting, situation awareness and dynamic line ratings.
  • Keywords
    "Decision support systems","Photovoltaic systems","Planning","Time series analysis","Real-time systems","Load forecasting"
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2015 IEEE PES Asia-Pacific
  • Type

    conf

  • DOI
    10.1109/APPEEC.2015.7381030
  • Filename
    7381030