• DocumentCode
    509916
  • Title

    Monte Carlo simulation in generating capacity adequacy assessment (state sampling technique)

  • Author

    El Wafa, A.R.A. ; Helal, Ibrahinm ; Haggag, Gamal

  • Author_Institution
    Dept. of Electr. Power & Machines, Ain Shams Univ., Cairo, Egypt
  • Volume
    2
  • fYear
    2006
  • fDate
    19-21 Dec. 2006
  • Firstpage
    541
  • Lastpage
    546
  • Abstract
    The paper presents an algorithm for generating capacity adequacy study for the reliability test system IEEE RTS. based on Monte Carlo simulation-state sampling technique. The Monte Carlo simulation procedure treats the problem as a series of ¿real¿ experiments, whose outcomes depend on the operating characteristics of the components and of the system. The reliability indices are then estimated by observing the experiment. The paper presents some results for the generating system in the IEEE RTS. The objective of this paper is to present reliability indices and to illustrate how the Monte Carlo method can be used to provide a physical insight in the random behaviour of the generating system.
  • Keywords
    Monte Carlo methods; digital simulation; electric power generation; power system reliability; sampling methods; IEEE reliability test system; Monte Carlo simulation; generating capacity adequacy assessment; generating system; state sampling technique; Renewable energy resources; Sampling methods; IEEE reliability test system; Monte Carlo simulation; generating system adequacy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference, 2006. MEPCON 2006. Eleventh International Middle East
  • Conference_Location
    El-Minia
  • Print_ISBN
    978-1-4244-5111-1
  • Type

    conf

  • Filename
    5372422