Enhanced method for assessing designed sag accuracy in overhead transmission electric lines using field data and statistical analysis

This study evaluates the accuracy of executed sags in overhead transmission electric lines, explicitly focusing on AAAC Al 59 type wire. A novel and innovative approach involves collecting data on sags in the field, converting field data into design data, and utilizing statistical methods considering both field and design data. The research determines the maximal inaccuracy of designed sags to be 18.54% with a 95% confidence level, indicating a potential deflection towards the ground by this percentage. One notable advantage of this method is its ability to test and enhance the effectiveness of measures to improve accuracy by iterative re-feeding field data into updated accuracy calculations. This iterative process allows for identifying optimal measures to achieve the highest level of accuracy. The proposed research methodology applies to any wire type, providing practical guidelines for enhancing sag accuracy and offering directions for future studies in this field. • A novel methodology is developed to evaluate sag accuracy in overhead transmission lines. • Field data is collected and converted into design data for comprehensive statistical analysis. • An iterative process is introduced to enhance sag accuracy through continuous data re-evaluation. • The proposed methodology is applicable to any wire type, offering broad practical guidelines. • The research provides a foundation for future studies aimed at improving sag accuracy in transmission lines.

Authors

Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2025-01-22
DOI
https://doi.org/10.1016/j.ijepes.2025.110457
Primary Topic
Thermal Analysis in Power Transmission
Type
article
Field-Weighted Citation Impact
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article

Enhanced method for assessing designed sag accuracy in overhead transmission electric lines using field data and statistical analysis

Roi Yozevitch, Eldad Holdengreber, Alexander Nudler
International Journal of Electrical Power & Energy Systems
Thermal Analysis in Power Transmission
article

Enhanced method for assessing designed sag accuracy in overhead transmission electric lines using field data and statistical analysis

Roi Yozevitch, Eldad Holdengreber, Alexander Nudler
article en

Abstract

This study evaluates the accuracy of executed sags in overhead transmission electric lines, explicitly focusing on AAAC Al 59 type wire. A novel and innovative approach involves collecting data on sags in the field, converting field data into design data, and utilizing statistical methods considering both field and design data. The research determines the maximal inaccuracy of designed sags to be 18.54% with a 95% confidence level, indicating a potential deflection towards the ground by this percentage. One notable advantage of this method is its ability to test and enhance the effectiveness of measures to improve accuracy by iterative re-feeding field data into updated accuracy calculations. This iterative process allows for identifying optimal measures to achieve the highest level of accuracy. The proposed research methodology applies to any wire type, providing practical guidelines for enhancing sag accuracy and offering directions for future studies in this field. • A novel methodology is developed to evaluate sag accuracy in overhead transmission lines. • Field data is collected and converted into design data for comprehensive statistical analysis. • An iterative process is introduced to enhance sag accuracy through continuous data re-evaluation. • The proposed methodology is applicable to any wire type, offering broad practical guidelines. • The research provides a foundation for future studies aimed at improving sag accuracy in transmission lines.

International Journal of Electrical Power & Energy SystemsVol. 165
Affordable and clean energy
Openalex Percentile: Top 99%
Thermal Analysis in Power Transmission
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Enhanced method for assessing designed sag accuracy in overhead transmission electric lines using field data and statistical analysis — Roi Yozevitch, Eldad Holdengreber, et al. · International Journal of Electrical Power & Energy Systems (2025) | TGRS Research Map | TGRS