• DocumentCode
    1713055
  • Title

    Distributed Diesel Generation to Facilitate Wind Power Integration

  • Author

    Kennedy, Jason ; Fox, Brendan ; Morrow, D.John

  • Author_Institution
    Sch. of Electron., Electr. Eng. & Comput. Sci., Queen´´s Univ. Belfast, Belfast
  • fYear
    2007
  • Firstpage
    461
  • Lastpage
    466
  • Abstract
    An ensemble wind generation forecasting technique is described in this paper, based on a fusion of publicly available wind forecasts, persistence hold techniques and statistical methods. The forecasting method is applied to the Northern Irish power system where increasing capacity of installed wind generation makes forecast profiles an essential tool. The analysis is based on 6 months of wind generation and wind forecast data from the year 2006. The analysis incorporates the use of centrally controlled distributed diesel generation to cater for instances when the forecast wind generation is over-predicted and a shortfall exists. Power system scheduling software is used to simulate thermal plant operation with and without the described wind forecast. The work highlights the improvements in system efficiency and reduced fuel costs that are possible through application of a basic forecasting technique when combined with flexible distributed generation.
  • Keywords
    diesel-electric power stations; distributed power generation; power engineering computing; power generation scheduling; statistical analysis; wind power plants; Northern Irish power system; centrally controlled distributed diesel generation; distributed diesel generation; flexible distributed generation; power system scheduling software; statistical methods; thermal plant operation; wind generation forecasting technique; wind power integration; Distributed control; Distributed power generation; Fusion power generation; Power generation; Power system analysis computing; Power system simulation; Statistical analysis; Wind energy; Wind energy generation; Wind forecasting; Diesel driven generators; Forecasting; Power generation; Power generation scheduling; Wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Tech, 2007 IEEE Lausanne
  • Conference_Location
    Lausanne
  • Print_ISBN
    978-1-4244-2189-3
  • Electronic_ISBN
    978-1-4244-2190-9
  • Type

    conf

  • DOI
    10.1109/PCT.2007.4538361
  • Filename
    4538361