• DocumentCode
    2591157
  • Title

    Sensitivity Analysis of Probabilistic Reliability Evaluation of KEPCO System Using TRELSS

  • Author

    Tran, TrungTinh ; Kwon, Jungji ; Choi, Jaeseok ; Jeon, Donghun ; Han, Kyoungnam

  • Author_Institution
    Dept. of Electr. Eng., Gyeongsang Nat. Univ., Jinju
  • fYear
    2006
  • fDate
    11-15 June 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The importance and conducting necessity studies on grid reliability evaluation have been increasingly important in recent years due to the number of black-out events occurring through in the world. Quantity evaluation of transmission system reliability is very important in a competitive electricity environment. The reason is that the successful operation of electric power under a deregulated electricity market depends on transmission system reliability management. Also in Korea it takes places. The results of many case studies for the KEPCO system using the transmission reliability evaluation for large-scale systems (TRELSS) Version 6.2, a program developed by EPRI are introduced in this paper. Some sensitivity analysis has been included in case study. This paper suggests that the some important input parameters of the TRELSS can be determined optimally from this sensitivity analysis for high reliability level operation of a system
  • Keywords
    power system management; power transmission reliability; probability; EPRI; KEPCO system; Korea; TRELSS Version 6_2; deregulated electricity market; probabilistic reliability; sensitivity analysis; transmission reliability evaluation-large-scale systems; transmission system reliability management; Electricity supply industry; Electricity supply industry deregulation; Load flow; Meeting planning; Power demand; Power generation; Power system analysis computing; Power system planning; Power system reliability; Sensitivity analysis; Black-out; TRELSS; reliability evaluation; transmission system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
  • Conference_Location
    Stockholm
  • Print_ISBN
    978-91-7178-585-5
  • Type

    conf

  • DOI
    10.1109/PMAPS.2006.360252
  • Filename
    4202264