• DocumentCode
    758930
  • Title

    A probabilistic approach to exposure assessment of power lines electric field

  • Author

    Din, El Sayed Tag El ; Anis, Hussein ; Abouelsaad, Mohamed

  • Author_Institution
    Fac. of Eng., Cairo Univ., Egypt
  • Volume
    20
  • Issue
    2
  • fYear
    2005
  • fDate
    4/1/2005 12:00:00 AM
  • Firstpage
    887
  • Lastpage
    893
  • Abstract
    Existing occupational guidelines for exposure to power frequency fields are designed to prevent short-term effects of induced electric fields and currents on excitable tissues. A novel probabilistic approach to the assessment of human exposure to power lines electric fields is introduced. The method offers clear advantages over existing methods that are based on deterministic assumptions. A model is constructed to predict power lines electric fields taking into consideration the random nature of the various parameters involved. Another model is constructed to predict a level of whole-body exposure field, below which no body stimulation is expected, termed here "safe field." Probability distributions of exposure field near transmission lines and for safe electric field are produced. Both models are integrated into a general model, which characterizes the risk exposure to power lines electric fields. The method is applied for exposure assessment near two typical Egyptian power lines with different probabilities of human presence in the line neighborhood and different human age brackets.
  • Keywords
    electric fields; power transmission lines; probability; risk analysis; safety; electric field; human exposure assessment; power line; probabilistic approach; risk exposure; transmission line; Biological system modeling; Current density; Frequency; Guidelines; Humans; Power engineering and energy; Predictive models; Probability distribution; Safety; Uncertainty; Electric fields; Monte Carlo; human exposure; power line; probabilistic model; risk analysis;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/TPWRD.2005.844268
  • Filename
    1413330