• DocumentCode
    2716208
  • Title

    Probabilistic wind energy modeling in electric generation system reliability assessment

  • Author

    Zhang, Yi ; Chowdhury, A.A. ; Koval, D.O.

  • Author_Institution
    California Indep. Syst. Operator, Folsom, CA, USA
  • fYear
    2010
  • fDate
    9-13 May 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The power grid reliability impacts could be significant when a large amount of variable wind generation is integrated with the electric power system. The widely used deterministic reliability assessment method is invalid when modeling intermittency of wind energy sources. The energy based probabilistic reliability assessment models are required in system reliability impact assessment in order to consider the stochastic characteristic of wind resources. This paper investigates different stochastic characteristics in wind energy integration, including resource availability, generation facility outage and transmission availability. A probabilistic framework of reliability modeling for renewable resource integration such as wind energy conversion system is proposed in this paper. Using the proposed reliability models and framework, the cost of wind energy integration with the power gird for maintaining system adequacy and reliability can be evaluated realistically. The IEEE Reliability Test System (IEEE-RTS) system is utilized to demonstrate the developed models and methods. The methodology can be used for modeling the reliability of industrial and commercial facilities being serviced by wind farms and transmission lines.
  • Keywords
    Availability; Mesh generation; Power generation; Power grids; Power system modeling; Power system reliability; Power systems; Wind energy; Wind energy generation; Wind power generation; Cost; Outage rate; Planning; Reliability; Transmission availability; wind energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Commercial Power Systems Technical Conference (I&CPS), 2010 IEEE
  • Conference_Location
    Tallahassee, FL, USA
  • Print_ISBN
    978-1-4244-5600-0
  • Type

    conf

  • DOI
    10.1109/ICPS.2010.5489894
  • Filename
    5489894