• DocumentCode
    892551
  • Title

    Consideration of an appropriate TTC by probabilistic approach

  • Author

    Audomvongseree, Kulyos ; Yokoyama, Akihiko

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Tokyo, Japan
  • Volume
    19
  • Issue
    1
  • fYear
    2004
  • Firstpage
    375
  • Lastpage
    383
  • Abstract
    In a new competitive environment, it becomes possible for third parties to access transmission networks. Key information used to determine how much power can be transferred through the network is known as available transfer capability (ATC). Generally, ATC is calculated based on the severest case with some safety margin reserved for any uncertainty in the near future. However, without considering the probabilistic nature of the power system, it becomes a question whether ATC is reasonable in practice or not. This paper proposes a probabilistic approach to cope with this problem. By the probabilistic method, a characteristic of the transfer capability can be obtained through its probability density function. The objective of this research is to provide realistic information on the actual ability of the network that may be an alternative choice for system operators. The advantages of this proposed method are illustrated by an application to a modified IEEE 118-bus system.
  • Keywords
    Monte Carlo methods; probability; risk analysis; transmission networks; IEEE 118-bus system; Monte Carlo simulation; available transfer capability; power system; probabilistic approach; probability density function; risk analysis; total transfer capability; transmission networks; Power generation economics; Power system analysis computing; Power system management; Power system reliability; Power systems; Probability density function; Risk analysis; Safety; Transmission line measurements; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2003.820699
  • Filename
    1266591