• DocumentCode
    2045471
  • Title

    Evaluation of the environmental impact of wind generation penetration

  • Author

    Ahmed, M.H. ; Bhattacharya, K. ; Salama, M.M.A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper presents a methodology to evaluate the environmental impact of wind generation penetration into electrical power system. A set of historical wind speed data is used to obtain different wind speed clusters which are used by Monte-Carlo Simulations to generate different daily wind speed profiles-scenarios. The Forward Selection algorithm is used to obtain a reduced set of scenarios. These reduced scenarios are then incorporated into a unit commitment model that analyzes the impact of wind generation penetration on the operation of conventional plants and on the resulting total system emissions. The solution of the unit commitment model is studied for different cost functions including the minimization of the total system emission. The relationship between changing the emission caps and the penetration level of wind energy is also investigated.
  • Keywords
    Monte Carlo methods; air pollution control; power generation dispatch; power generation scheduling; wind power plants; Monte-Carlo simulations; cost functions; electrical power system; environmental impact; forward selection algorithm; historical wind speed data; total system emission minimization; unit commitment model; wind generation penetration; wind speed clusters; wind speed profiles; Fuels; Generators; Indexes; Wind power generation; Wind speed; Wind turbines; Emission; energy policy; power system economics; wind power generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6344806
  • Filename
    6344806