• DocumentCode
    1120655
  • Title

    Distributed generation as a balancing resource for wind generation

  • Author

    Kennedy, J. ; Fox, B. ; Morrow, D.J.

  • Author_Institution
    Queen´´s Univ. Belfast, Belfast
  • Volume
    1
  • Issue
    3
  • fYear
    2007
  • fDate
    9/1/2007 12:00:00 AM
  • Firstpage
    167
  • Lastpage
    174
  • Abstract
    Full exploitation of the environmental and financial benefits of wind-generated energy in a power system requires prediction of the wind energy profile well in advance of delivery. On the basis of forecast profile and associated confidence, wind energy can be included in the unit commitment/economic dispatch procedure, resulting in near-optimal commitment and loading of thermal plant, thereby saving fuel. A wind forecasting methodology, which closely resembles a commercial wind forecasting package, is adopted to illustrate the possible instances of significant over-forecasting, although rare, and exposure of the system to substantial risk. It is shown that the cost of additional spinning reserve necessary for such cases is prohibitive, and a fast, flexible generation, such as diesel gen-sets are considered as a superior mechanism to balance any such shortfalls. The Northern Ireland power system is used as a case study to demonstrate the environmental and financial benefits of using distributed diesel generation in the manner described above. The study is based on a six-month period system data, and is applied to various future scenarios of the installed wind. It is shown that the methodology can mitigate many of the problems associated with large-scale wind penetration on a synchronously islanded system.
  • Keywords
    distributed power generation; thermal power stations; wind power plants; balancing resource; diesel generation; distributed generation; environmental benefit; financial benefit; thermal plants; wind energy profile prediction; wind forecasting package; wind generation; wind-generated energy;
  • fLanguage
    English
  • Journal_Title
    Renewable Power Generation, IET
  • Publisher
    iet
  • ISSN
    1752-1416
  • Type

    jour

  • DOI
    10.1049/iet-rpg:20070017
  • Filename
    4302790