• DocumentCode
    3583760
  • Title

    Risk based TRM evaluation by probabilistic approach

  • Author

    Audomvongseree, K. ; Yokoyama, A.

  • Author_Institution
    Dept. of Electr. Eng., Tokyo Denki Univ.
  • fYear
    2004
  • Firstpage
    254
  • Lastpage
    259
  • Abstract
    In a new competitive environment, to efficiently manage the utilization of the transmission networks, the definition of available transfer capability (ATC) has been proposed. According to the North American Electric Reliability Council (NERC)´s definition, ATC depends on several parameters, i.e. total transfer capability (TTC), transmission reliability margin (TRM), and capacity benefit margin (CBM). This paper is focused on the calculation of TRM, which is one of the security margin reserved for any uncertainty of system conditions. The TRM calculation by the probabilistic method based on modeling of load forecast error and error in transmission line limitation is proposed in this paper. By consideration of the proposed risk analysis concept, the appropriate required amount of TRM can be obtained. The advantages of the proposed method are illustrated by an application to the IEEE 118-bus model system
  • Keywords
    electricity supply industry deregulation; load forecasting; power system security; power transmission lines; power transmission reliability; power utilisation; probability; risk analysis; uncertain systems; North American Electric Reliability Council; available transfer capability; capacity benefit margin; deregulation; load forecasting error; probabilistic approach; risk analysis concept; risk based TRM evaluation; security margin; system condition uncertainty; total transfer capability; transmission line limitations; transmission network utilization; transmission reliability margin; Councils; Environmental management; Load forecasting; Load modeling; Predictive models; Risk analysis; Security; Transmission line measurements; Transmission lines; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Probabilistic Methods Applied to Power Systems, 2004 International Conference on
  • Print_ISBN
    0-9761319-1-9
  • Type

    conf

  • Filename
    1378697