• DocumentCode
    72231
  • Title

    Wind and Photovoltaic Large-Scale Regional Models for Hourly Production Evaluation

  • Author

    Marinelli, Mattia ; Maule, Petr ; Hahmann, Andrea N. ; Gehrke, Oliver ; Norgard, Per B. ; Cutululis, Nicolaos A.

  • Author_Institution
    Dept. of Electr. Eng., Tech. Univ. of Denmark (DTU), Roskilde, Denmark
  • Volume
    6
  • Issue
    3
  • fYear
    2015
  • fDate
    Jul-15
  • Firstpage
    916
  • Lastpage
    923
  • Abstract
    This work presents two large-scale regional models used for the evaluation of normalized power output from wind turbines and photovoltaic power plants on a European regional scale. The models give an estimate of renewable production on a regional scale with 1h resolution, starting from a mesoscale meteorological data input and taking in account the characteristics of different plants technologies and spatial distribution. An evaluation of the hourly forecasted energy production on a regional scale would be very valuable for the transmission system operators when making the long-term planning of the transmission system, especially regarding the cross-border power flows. The tuning of these regional models is done using historical meteorological data acquired on a per-country basis and using publicly available data of installed capacity.
  • Keywords
    load flow; photovoltaic power systems; power transmission planning; renewable energy sources; wind turbines; cross-border power flows; hourly forecasted energy production; hourly production evaluation; long-term planning; mesoscale meteorological data input; normalized power output; photovoltaic large-scale regional models; photovoltaic power plants; renewable production; transmission system operators; wind regional models; wind turbines; Atmospheric modeling; Data models; Photovoltaic systems; Production; Wind power generation; Wind turbines; Large-scale integration; modeling; photovoltaic (PV) power systems; renewable energy sources; wind energy;
  • fLanguage
    English
  • Journal_Title
    Sustainable Energy, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3029
  • Type

    jour

  • DOI
    10.1109/TSTE.2014.2347591
  • Filename
    6899687