Abouelsaad, M., El Shair, I., Ghariany, I. (2006). An Integrated Approach for Probabilistic Assessment of Ionized Fields of HVDC Lines. test, 5(5th International Conference on Electrical Engineering ICEENG 2006), 1-7. doi: 10.21608/iceeng.2006.33624
Mohamed M. Abouelsaad; Ibrahim M. El Shair; Ihab F. Ghariany. "An Integrated Approach for Probabilistic Assessment of Ionized Fields of HVDC Lines". test, 5, 5th International Conference on Electrical Engineering ICEENG 2006, 2006, 1-7. doi: 10.21608/iceeng.2006.33624
Abouelsaad, M., El Shair, I., Ghariany, I. (2006). 'An Integrated Approach for Probabilistic Assessment of Ionized Fields of HVDC Lines', test, 5(5th International Conference on Electrical Engineering ICEENG 2006), pp. 1-7. doi: 10.21608/iceeng.2006.33624
Abouelsaad, M., El Shair, I., Ghariany, I. An Integrated Approach for Probabilistic Assessment of Ionized Fields of HVDC Lines. test, 2006; 5(5th International Conference on Electrical Engineering ICEENG 2006): 1-7. doi: 10.21608/iceeng.2006.33624

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

The International Conference on Electrical Engineering
Article 45, Volume 5, 5th International Conference on Electrical Engineering ICEENG 2006, May 2006, Pages 1-7    PDF (140.58 K)
Document Type: Original Article
DOI: 10.21608/iceeng.2006.33624
Authors
Mohamed M. Abouelsaad1; Ibrahim M. El Shair2; Ihab F. Ghariany3
1Associate professor, Faculty of Engineering at Shoubra, Benha University, Shoubra , Cairo, Egypt.
2Professor, Faculty of Engineering, Ain-Shams University, Cairo, Egypt.
3Graduate student, Ministry of the Interior, Cairo, Egypt.
Abstract
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.
Keywords
Probabilistic methods; DC ionized fields; Uncertainties
Statistics
Article View: 122
PDF Download: 254