• DocumentCode
    1536229
  • Title

    Increasing thermal rating by risk analysis

  • Author

    Wan, Hua ; McCalley, James D. ; Vittal, Vijay

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • Volume
    14
  • Issue
    3
  • fYear
    1999
  • fDate
    8/1/1999 12:00:00 AM
  • Firstpage
    815
  • Lastpage
    828
  • Abstract
    It has long been realized that the thermal ratings of overhead transmission lines when computed deterministically, are typically conservative, resulting in under-utilization of conductors. A probabilistic method to assess thermal capacity based on risk is presented in this paper. The authors address the potential impacts of thermal overload, the stochastic model of conductor temperature, and the quantitative risk which indicates the average “danger” of an overload. The continuous, short-time and long-time thermal ratings are calculated using the risk of thermal overload. This method can provide technical justification for increased thermal capacity for a transmission line and an evaluation of risk for the given operating conditions
  • Keywords
    overhead line mechanical characteristics; power overhead lines; probability; thermal analysis; operating conditions; overhead transmission lines; probabilistic method; quantitative risk; risk analysis; stochastic model; technical justification; thermal capacity assessment; thermal overload risk; thermal rating; Annealing; Capacity planning; Conductors; Power systems; Power transmission lines; Risk analysis; Stochastic processes; Temperature; Thermal conductivity; Thermal loading;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.780891
  • Filename
    780891