• DocumentCode
    59714
  • Title

    DSM Considered Probabilistic Reliability Evaluation and an Information System for Power Systems Including Wind Turbine Generators

  • Author

    Jaeseok Choi ; Jintaek Lim ; Lee, Khuan Y.

  • Author_Institution
    Dept. of Electr. Eng., Gyeongsang Nat. Univ., Jinju, South Korea
  • Volume
    4
  • Issue
    1
  • fYear
    2013
  • fDate
    Mar-13
  • Firstpage
    425
  • Lastpage
    432
  • Abstract
    This paper proposes a methodology for evaluating the probabilistic reliability, considering demand side management (DSM) and Web based on a daily interval reliability information system for a grid constrained composite power system including wind turbine generators(WTG). The proposed model can consider capacity limitations and transmission line unavailabilities and the operation of WTG modeled by multi-states. The importance of renewable energy sources is growing at a rapid rate due to environmental concerns. A web based online daily time interval reliability integrated information system (WORRIS) is applied using the methodology proposed in this paper. This paper describes the architecture of the WORRIS Version 7.0 system.
  • Keywords
    Internet; demand side management; information systems; power engineering computing; power grids; power system reliability; probability; turbogenerators; wind turbines; DSM; WORRIS version 7.0 system; WTG; Web; demand side management; grid constrained composite power system; information system; power system; probabilistic reliability evaluation; renewable energy sources; transmission line; wind turbine generators; Generators; Load modeling; Power system reliability; Probabilistic logic; Reliability; Wind speed; Composite power system reliability evaluation; grid considered reliability evaluation; multi-state model; web based online real-time integrated information system; wind turbine generator;
  • fLanguage
    English
  • Journal_Title
    Smart Grid, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1949-3053
  • Type

    jour

  • DOI
    10.1109/TSG.2012.2234150
  • Filename
    6463472