• DocumentCode
    1814454
  • Title

    Cloud model for power system contingency analysis

  • Author

    Venugopal, G. ; Arun Jees, S. ; Arun Kumar, T.

  • Author_Institution
    Power Syst. Eng. Coll. of Eng., Chennai, India
  • fYear
    2013
  • fDate
    5-6 Dec. 2013
  • Firstpage
    26
  • Lastpage
    31
  • Abstract
    The principle objective of this paper is to develop a cloud based model, which is highly distributed with the inherent features like ease of use, reliability, dynamic scalability and low cost. Since adoption of various IT technologies are their implementation for various sectors is exponentially growing, an attempt has been made to address power system problems in cloud environment. To validate, one of the power system problem namely contingency analysis has been considered and tested in two different environments like windows azure and Google app engine. This service can be accessed anytime anywhere without any limitations.
  • Keywords
    cloud computing; power system analysis computing; Google app engine; cloud environment; cloud model; power system contingency analysis; Analytical models; Cloud computing; Computational modeling; Engines; Google; Power system stability; Google app engine; cloud computing; power system contingency analysis; windows azure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Renewable Energy and Sustainable Energy (ICRESE), 2013 International Conference on
  • Conference_Location
    Coimbatore
  • Type

    conf

  • DOI
    10.1109/ICRESE.2013.6927827
  • Filename
    6927827