• DocumentCode
    597140
  • Title

    Evaluation of expected energy generation in multi-area interconnected systems with renewable energy generating units

  • Author

    Khan, Kaisar R. ; Abou-Arkaoub, Ahmed

  • Author_Institution
    Sch. of Eng. Technol., Mohawk Coll. of Appl. Arts, Hamilton, ON, Canada
  • fYear
    2012
  • fDate
    27-29 Aug. 2012
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    A methodology to evaluate the expected energy generation (EEG) of multi area interconnected systems with renewable energy generating units as well as conventional fossil fuel based units has been presented in this paper. Renewable energy generating units such as solar and wind generators are practical alternative to meet the huge electrical energy demand with minimum cost. Extending the segmentation method of evaluating EEG the method also evaluates expected export/import among the electric utilities working in the interconnected system. The availability of renewable energy generator that varies during different time of the day has been taken into account.
  • Keywords
    electricity supply industry; fossil fuels; power system interconnection; renewable energy sources; EEG; electric utilities; electrical energy demand; expected energy generation; fossil fuel-based units; multiarea interconnected systems; renewable energy generating units; segmentation method; Electroencephalography; Equations; Generators; Interconnected systems; Joints; Mathematical model; Renewable energy resources; Interconnected systems; expected energy generation; jointly owned units; renewable energy generator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Engineering (SGE), 2012 IEEE International Conference on
  • Conference_Location
    Oshawa, ON
  • Print_ISBN
    978-1-4673-4457-9
  • Electronic_ISBN
    978-1-4673-4456-2
  • Type

    conf

  • DOI
    10.1109/SGE.2012.6463960
  • Filename
    6463960