An Integrated Approach for Probabilistic Assessment of Ionized Fields of HVDC Lines

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.