• DocumentCode
    3729569
  • Title

    A case study into improving the 24-month mid-term forecasting of wind energy by combining with PVs

  • Author

    J. Patel;D. Martin;J. Chan;O. Krause

  • Author_Institution
    Power and Energy Systems, The University of Queensland, St. Lucia, Australia
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Forecasting the output of wind energy plants over many months is problematic because of the unpredictability of the weather. Usually, a large proportion of conventional generation must be standing by as reserve capacity in case the weather is not conducive to that type of renewable technology. A possible solution is to operate in conjunction different types of renewables. For instance, during stormy weather the output of a PV plant might be low, however, the output of a wind farm will be high. To investigate the appropriateness of this aggregation, data from a South Australian wind farm was studies, along with a hypothetical PV plant, to determine whether the output of the conjoined plant was more reliable than that of the wind farm on its own.
  • Keywords
    "Wind farms","Reliability","Turbines","Wind","Wind energy generation","Wind power generation"
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2015 IEEE PES Asia-Pacific
  • Type

    conf

  • DOI
    10.1109/APPEEC.2015.7380866
  • Filename
    7380866