ABSTRACT
An integrated statistical approach, based on Monte Carlo simulation, is developed in this
paper for probabilistic exposure assessment under HVDC transmission lines. The validity and
adequacy of traditional, deterministic, models for HVDC ionized fields have been repeatedly
questioned in literature. The present work recognizes the probabilistic nature of the exposure
variables, electric field intensity and ion current density, and caters for their inherent
uncertainties in order to simulate the realistic dc line environment . Randomness in the factors
influencing the ionized field quantities is identified and accounted for, namely, the wind
speed, the line sag, the corona onset gradient, and the location of objects under the line. Based
on an overall probabilistic approach, the integrated influence of these factors on the exposure
parameters is evaluated and assessed.